Role Overview-The Digital &amp; Marketing Analytics team provides advanced analytics products/dashboards and reporting services to stakeholders in the Digital and Marketing teams. Salary: $115K Write Up &#x2013; Required Professional Experience, Technologies &amp; Additional Context <ul><li>Summarize exp. they have with enterprise analytical &amp; BI tools (such as, Cognos, Tableau, Qlickview, Excel PowerPivot, SSRS)</li><li>Summarize exp they have with programming languages (such as SAS, SQL, R, or STATA)</li><li>What regulated industry do they have experience in, as an Analytics Developer? (Healthcare, etc) </li></ul>Baylor Scott &amp; White &#x2013; Remote. Excluding Baylor Restricted States: California, Hawaii, New Jersey, New York, North Dakota, Oregon, Puerto Rico, Rhode Island, US Virgin Islands, Washington, Wyoming Analytics Developer III Direct Hire *Candidates must complete a background check &amp; drug screen upon offer* Job Description: The Digital Analytics team delivers trusted measurement, advanced analytics products, dashboards, reporting, and actionable insights to leaders and stakeholders across the organization. As a member of the Customer Analytics team, the Analytics Developer III serves as a high-impact, leadership-facing analyst who connects business strategy, digital experiences, customer behavior, and data to guide decisions. This role partners with senior leaders and cross-functional teams to frame ambiguous business needs as clear analytical problem statements, determine what must be measured, and identify creative, fact-based ways to answer the questions that matter most. The role owns the analytical lifecycle from data-first measurement design and tracking requirements through data collection, implementation support, quality assurance, exploratory analysis, metric development, dashboarding, and executive-ready storytelling. ESSENTIAL FUNCTIONS Of The ROLE <ul><li>Partner with leaders and cross-functional teams to understand business objectives, challenge assumptions, and translate ambiguous needs into clear analytical problem statements and measurable outcomes.</li><li>Define the measurement strategy before implementation, including events, dimensions, metrics, data sources, tracking requirements, technical specifications, processes, and workflows.</li><li>Serve as a trusted analytical advisor and lead consultant for senior stakeholders, guiding prioritization, measurement decisions, and resource alignment.</li><li>Apply systems thinking to connect customer journeys, digital experiences, operational processes, source systems, and downstream reporting; identify dependencies, gaps, and creative approaches to answer business questions with evidence.</li><li>Extract, transform and load data into database as required utilizing the most appropriate tool.</li><li>Assess, produce and/or develop complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs and tables) from various data sources by querying data and generating the associated output. Distribute and disseminate analytical deliverables to applicable agencies, researchers, management and other customers.</li><li>Lead end-to-end data quality assurance, including tracking validation, instrumentation QA, reconciliation, metric testing, anomaly detection, and documentation of known limitations before results reach leadership.</li><li>Document project/work assignments to include all needed technical documentation such as source to target mappings, data sources, definitions, methodologies, contact information, output requirements or other information to ensure continuity of process.</li><li>Interpret complex data and associated deliverables (reports, dashboards, interactive reporting, charts, graphs and tables) in plain business language for executive &amp; clinical staff. Effectively summarize information and create intuitive/digestible information by selecting visualizations that are fit for purpose.</li><li>Use advanced SQL to develop complex metrics, reusable analytical datasets, and exploratory data analyses that evaluate performance, explain drivers, test hypotheses, and surface opportunities across digital, customer, operational, and marketing use cases.</li><li>Connect the dots across disparate data and perspectives to identify trends, root causes, opportunities, and risks; develop fact-based recommendations that leaders can act on.</li><li>Provide technical mentorship and raise the team&apos;s analytical maturity through reusable methods, measurement standards, SQL practices, QA discipline, and clear storytelling. </li></ul>KEY SUCCESS FACTORS <ul><li>Bachelor&apos;s degree in Statistics, Operations Research, Physics, Computer Science,</li><li>Economics, Business, Clinical or other similar degree or equivalent experience required.</li><li>Master&apos;s degree preferred.</li><li>Strong analytical, systems-thinking, problem-solving, data manipulation, troubleshooting, and structured thinking skills, with the ability to decompose complex business problems into answerable analytical questions.</li><li>Advanced development skills in the use of enterprise analytical and Bl tools, such as Cognos,</li><li>Tableau, QIickView, Excel PowerPivot or SSRS.</li><li>Advanced SQL skills, and comfort using Python, pyspark, including the ability to query, join, model, validate, and analyze complex data in Snowflake; develop sophisticated metrics and exploratory analyses; and optimize queries for repeatable use.</li><li>Verbal and written communication skills.</li><li>Ability to design and influence the implementation of measurement systems, tracking plans, and data pipelines necessary to collect, maintain, validate, and analyze trustworthy digital and business data.</li><li>Ability to gather, integrate, and analyze data; define meaningful metrics; conduct exploratory analysis; and develop executive-ready reports and recommendations.</li><li>Ability to work independently, lead cross-functional teams with minimal supervision, and influence decisions across product, marketing, technology, data engineering, and business functions.</li><li>Knowledge of ETL &amp; Data Warehousing.</li><li>Ability to work with complex data of varying levels of quality and validity.</li><li>Ability to develop data analytics and BI applications in a clear and understandable manner</li><li>meeting user requirements.</li><li>Inquisitive, hypothesis-driven mindset with the ability to learn new business domains, data sources, tools, and processes quickly; ask incisive questions; identify creative analytical approaches; and improve efficiency and decision quality. </li></ul>

Analytics Developer III

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Join our Core Lab Solutions (CLS) team as a Strategy and Business Process Analyst and partner closely with our Senior Manager of Strategy and Business Processes to help shape how we work and make decisions. This is a remote position with a preference for East Coast. In this highly visible role, you&#x2019;ll play a key part in advancing our analytical capabilities within Integrated Business Planning (IBP), empowering leaders with insights that drive smarter, faster, data&#x2011;driven decisions. As Siemens Healthineers navigates an increasingly complex global landscape, your work will directly support the evolution of an operating model built for efficiency, agility, and speed - helping IBP serve as a foundational enabler of our continued success. Key Responsibilities <ul><li>Developing dashboards and reporting capabilities to support the CLS Business line, including Integrated Business Planning (IBP) and the Project Management Office (PMO)</li><li>Providing regular reports and analyses on topics central to Integrated Business Planning (IBP)</li><li>Improving business processes by analyzing complex datasets, creating compelling visualizations to communicate insights effectively and translating into clear actionable recommendations</li><li>Support strategic projects with analytical support to drive data-driven decisions that improve business outcomes, requiring broad analyses crossing functional boundaries including supply chain, commercial, service, marketing, and finance</li><li>Driving data governance across IBP; ensuring a single set of numbers across all forums</li><li>Engaging cross-functionally to identify, collate, and integrate data sources that provide insights to drive business line strategy and enable scenario planning</li><li>Fulfilling ad-hoc requests in support of Integrated Business Planning, Strategic Projects, and other key business processes </li></ul>What Will Help You Succeed You will be successful in this role if you enjoy: <ul><li>Streamlining reporting and analytical processes to provide information in a timely manner</li><li>Leveraging an analytical skillset to evaluate processes and identify improvement opportunities</li><li>Conveying complex information clearly with data visualization and storytelling</li><li>Working with various stakeholders and process owners to collect requirements and build dashboards/reporting that support operations </li></ul>Required Qualifications <ul><li>Bachelor&#x2019;s degree in Data Analytics, Supply Chain, Engineering, Business, or related fields</li><li>3-5 years of experience working cross-functionally in data analysis, business intelligence or IBP/S&amp;OP environments</li><li>High proficiency in SQL, Excel (PowerQuery/PowerPivot) and data visualization tools (PowerBI)</li><li>Highly organized, with analytical problem-solving skills and attention to detail</li><li>Able to utilize operational and business acumen to frame problems and structure analyses</li><li>Strong listening, verbal, and written communication skills to effectively present ideas and recommendations to diverse audiences</li><li>Must be able to collaborate in a team environment and across functional boundaries</li><li>Must be able to work independently and be self-motivated</li><li>Willing to travel as necessary and appropriate, including internationally </li></ul>Preferred Qualifications <ul><li>Experience working in a regulated / FDA environment</li><li>Prior experience working in a large, matrixed organization</li><li>Familiarity with Python/R, databases (e.g. Snowflake), ERP systems (e.g. SAP), IBP Platforms (e.g. Kinaxis) preferred </li></ul>Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual&#x2019;s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world&#x2019;s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here. The Base Pay Range For This Position Is $89,220 - $122,683 Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company&apos;s plan. Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you&#x2019;re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here. Export Control: &#x201C;A successful candidate must be able to work with controlled technology in accordance with US export control law.&#x201D; &#x201C;It is Siemens Healthineers&#x2019; policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.&#x201D; Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

Strategy and Business Process Analyst (Remote)

About Docker Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world&apos;s largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is looking for a Senior Marketing GTM Analytics Marketing to serve as the strategic analytics partner to Marketing and its cross functional partners. This manager level individual contributor will connect customer, campaign, product usage, and revenue data to help leaders improve conversion, prioritize investments, and accelerate pipeline growth. Responsibilities <ul><li>Serve as the strategic analytics partner to Marketing, translating ambiguous questions into clear analyses, recommendations, and measurable actions.</li><li>Own lead and account funnel analytics, including conversion, velocity, quality, cohort performance, and the drivers of strong or weak outcomes.</li><li>Define trusted attribution and return on investment methodologies for marketing programs, including marketing development funds, co marketing, and marketing funded SPIFFs.</li><li>Develop the targeting and measurement model for an inside sales motion into product led growth prospects.</li><li>Build account intelligence and scoring to support account based marketing, expansion, and new product adoption.</li><li>Lead the analytical narrative for Marketing QBRs, operating reviews, and planning, connecting activity to pipeline and revenue.</li><li>Design experiments and measurement plans that identify which programs and growth motions should scale, change, or stop.</li><li>Build scalable datasets, dashboards, and quality controls in partnership with Marketing Operations, Sales Operations, Finance, and Data teams. </li></ul>Qualifications <ul><li>7 or more years of experience in marketing, growth, revenue, or GTM analytics, ideally in B2B SaaS.</li><li>Advanced SQL skills and experience with customer, campaign, product usage, CRM, and cloud warehouse data.</li><li>Strong knowledge of demand generation, funnel measurement, attribution, experimentation, account based marketing, and pipeline economics.</li><li>Ability to independently structure complex problems and deliver defensible, decision ready recommendations.</li><li>Experience building scalable dashboards and data products. Salesforce experience is strongly preferred.</li><li> Excellent executive communication, high standards for accuracy, and the ability to influence senior stakeholders without direct authority.</li><li>Comfort operating as a strategic, hands on individual contributor. </li></ul>What to Expect First 30 Days &#x2014; Learn and Assess <ul><li>Ramp on Salesforce, Snowflake, Sigma, and existing marketing reporting</li><li>Understand marketing programs, funnel definitions, attribution methodology, and end of quarter reporting processes</li><li>Build relationships with Marketing, Field Marketing, RevOps, Finance, and Data partners</li><li>Identify gaps in reporting coverage, data quality, and decision support</li><li>Support recurring and ad hoc analysis to build business context </li></ul>First 60 Days &#x2014; Own and Improve <ul><li>Take ownership of core marketing reporting and end of quarter deliverables</li><li>Improve existing dashboards and reporting for accuracy, usability, and actionability</li><li>Establish a consistent support model and feedback loop with Field Marketing</li><li>Begin analysis of funnel conversion, campaign performance, and pipeline contribution</li><li>Align core marketing metrics and definitions across Marketing, RevOps, and Finance </li></ul>First 90 Days &#x2014; Deliver Insights and Impact <ul><li>Independently deliver accurate, executive ready marketing reporting for QBRs and other business reviews</li><li>Provide actionable insights into funnel performance, pipeline creation, and marketing investment effectiveness</li><li>Deliver an initial priority analysis, such as Field Marketing ROI, ABM targeting, or PLG and ISR opportunity identification</li><li>Recommend improvements to marketing measurement, attribution, and investment decisions</li><li>Reduce recurring ad hoc requests through scalable dashboards and self service reporting </li></ul>Docker does not offer visa sponsorship for this role. Compensation &amp; Equity Canada: CA$165,900 &#x2013; CA$237,000 + equity United States: $119,700 &#x2013; $181,000 + equity ______________________________________________________________________ Posting Information <ul><li>Open vacancy: This posting is for an existing open role.</li><li>AI in hiring: Docker may use AI-assisted tools during our recruiting process.</li><li>Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. </li></ul>______________________________________________________________________ Perks &amp; Benefits <ul><li>Remote-first by design &#x2013; Work from your home, with offices in Seattle and Paris for connection and collaboration.</li><li>Flexibility that fits your life &#x2013; We trust you to manage your schedule while delivering great work.</li><li>Time to recharge &#x2013; Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.</li><li>Home office support &#x2013; Set up your workspace for comfort and success.</li><li>Technology stipend &#x2013; Equivalent to US$100 net per month to help support your work.</li><li>Learning &amp; development &#x2013; Annual stipend for conferences, courses, certifications, and continued learning.</li><li>Parental leave &#x2013; 16 weeks of paid parental leave after six months of employment.</li><li>Equity for all full-time employees &#x2013; Share in Docker&apos;s long-term success as we continue to grow.</li><li>Comprehensive benefits &#x2013; Medical, retirement, and paid holidays vary by country.</li><li>Docker swag &#x2013; Because representing the whale never gets old. </li></ul>Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.

Senior Marketing GTM Analytics Manager

The Senior Assortment Analyst owns the analytical framework behind assortment planning, productivity measurement, and new item performance. This role sets the SKU-level methodology the business plans against and delivers the recommendations that shape what we carry, how deep we buy, and when we exit. Working within the Merchandise Planning &amp; Analytics organization, the Senior Analyst designs and owns assortment productivity reporting, leads rationalization analysis end to end, and owns the analytical model behind new product introduction forecasting and post-launch scorecarding. The role also sets analytical standards for the team and provides technical guidance to less experienced analysts. This is a senior individual contributor role with direct influence over assortment decisions, regular exposure to Merchant and Planning leadership, and a clear path toward Manager-level roles in merchandise planning or analytics. Key Responsibilities Assortment Analytics <ul><li>Own assortment productivity reporting: design, own, and continuously improve SKU and category-level reporting covering velocity, sell-through, margin contribution, and inventory productivity; establish the definitions and data lineage the organization plans against</li><li>Lead rationalization analysis: own the analytical case for tail SKU exit, consolidation, and transition; quantify the sales, margin, and productivity impact and present recommendations directly to Merchant and Planning leadership</li><li>Own depth and breadth methodology: build and maintain the models that determine how deeply the business invests in individual items and programs, including price point coverage and good-better-best architecture</li><li>Size the whitespace opportunity: lead market, consumer, and competitive analysis that identifies assortment gaps, quantifies the opportunity, and informs line review strategy</li><li>Set analytical standards: define the methodology, assumptions, and QA standards used across assortment analytics, and review the work of junior analysts for accuracy and rigor </li></ul>New Item &amp; Program Performance <ul><li>Own launch scorecards: build and own pre- and post-launch performance scorecards; diagnose forecast variance and translate the findings into forward-looking assumptions</li><li>Own transition analytics: lead item transition and end-of-life analysis to ensure clean exits, protected margin, and minimal residual inventory exposure</li><li>Improve forecast accuracy: partner with Demand Planning to refine new item forecast methodology using post-launch performance and read-and-react learning </li></ul>Reporting &amp; Partnership <ul><li>Deliver executive-ready analytics: produce assortment reporting on an established cadence and translate it into a clear point of view for senior leadership, not just a set of numbers</li><li>Advise Merchants and Planners: act as the analytical partner of record for assigned categories, shaping the question as often as answering it and challenging assumptions where the data warrants</li><li>Lead complex ad hoc analysis: scope, structure, and deliver the ambiguous, high-stakes analysis behind in-season decisions and line review preparation</li><li>Build scalable tooling: automate recurring analysis and move the team toward self-service reporting so analytical capacity shifts from production to interpretation </li></ul>Success Metrics In the first 12 months, the Senior Analyst, Assortment Planning will be evaluated on: <ul><li>Analytical Ownership: Assortment productivity reporting owned end to end, delivered accurately and on cadence, and adopted as the standing input to line reviews</li><li>Rationalization Impact: Rationalization analysis led through at least one full cycle, with quantified and realized productivity improvement</li><li>Influence: Recognized by Merchant and Planning leadership as a trusted advisor whose analysis changes decisions</li><li>Capability Building: Demonstrable improvement in the automation and consistency of assortment reporting, and evidence of developing junior analysts </li></ul>Who We Are At Bob&#x2019;s, we have fun, we love what we do, and it shows in our expansive growth! Bob&#x2019;s Discount Furniture is more than just a furniture store. We are one of the fastest growing omni-channel furniture retailers in the country. How We Will Support You At Bob&#x2019;s we understand there are many companies you can choose to work for, so, along with exceptional opportunities for career growth we offer a fun team-oriented work environment and great benefits! Let us tell you more. Benefits &amp; Perks- We&#x2019;ve got you covered! We believe in supporting our employees and their families in the best ways possible is a top priority. We focus on three core wellness pillars: Emotional, Physical and Financial. Below are just some of the benefits that we offer: <ul><li>Feeling under the weather, we&#x2019;ve got you covered! We offer Nationally provided Medical, Dental and Vision Insurance</li><li>Paid Vacation, Personal Days, Sick Days, Holidays, work anniversary and your Birthday! After all, your birthday should be a holiday</li><li>401(k) Profit Sharing Plan with a Generous Company match!</li><li>Pet Insurance to help keep your furry friends happy and healthy</li><li>Life insurance &#x2013; Employer-paid basic Life Insurance, with the option to add Voluntary Life Insurance as well!</li><li>Financial Planning, Voluntary Legal Benefits and Wellness Plans</li><li>We already offer value priced furniture, but on top of that we offer a Generous Employee Discount starting on your 1st day!</li><li>Additional Employee Discounts through the &#x201C;Hays Perks discount program&#x201D; offering hundreds of online discounts from your favorite merchants.</li><li>And so much more! </li></ul>Culture and Core Values- At Bob&apos;s we have a set of core values that shape the decisions we make every day and help define our company culture. These values comprise what we call &quot;The Bob&apos;s Way.&quot; Honesty, Integrity, Transparency, Community, Safety, Diversity, Accountability and Fun. DIVERSITY IS A CORE VALUE AT BOB&#x2019;S At Bob&#x2019;s Discount Furniture, we want you to feel at home. Whether you&#x2019;re shopping with us or a part of the Bob&#x2019;s team, we want you to know that you are valued, appreciated, and free to be who you are. We are committed to creating a place as diverse as the communities we serve. Learn and Grow- We believe in developing our team members and helping them grow both personally and professionally! We promote Professional Development: In-person, virtually and offer an infinite library of on-demand classes in Workday Learning. We also offer Tuition Reimbursement as well as the BDF Education Foundation Scholarship Program open to employees and their dependents. Want to grow at Bob&#x2019;s professionally? We look to promote from within our organization by having robust succession planning in place to ensure that our team members have the opportunity to advance their careers. Qualifications Required: <ul><li>Bachelor&apos;s degree in Business, Finance, Economics, Analytics, Statistics, or a related field</li><li>4&#x2013;7 years of analytical experience, with demonstrated depth in retail merchandising, planning, or analytics</li><li>Advanced Excel skills, including multi-variable modeling, large dataset handling, and building tools other people rely on</li><li>Proficiency in SQL, including the ability to independently source, join, and validate data across systems</li><li>Demonstrated ability to work independently in ambiguous situations and structure analysis without direction</li><li>Strong communication and storytelling skills, with experience presenting analysis and recommendations to senior leadership</li><li>Experience mentoring analysts or reviewing analytical work for quality </li></ul>Preferred <ul><li>Proficiency in Power BI, Tableau, or comparable visualization tools, including dashboard design</li><li>Furniture, home, or big-ticket retail experience</li><li>Hands-on experience with assortment planning or demand planning systems (e.g., Logility, o9, Blue Yonder)</li><li>Exposure to Python, R, or comparable tooling for advanced analysis </li></ul>Expected Base Pay Not Including Potential Commissions, Incentive, Bonus, etc. Opportunities: $80,000 - $100,000 It is policy of Bob&#x2019;s Discount Furniture, Inc., to provide equal employment opportunity to all employees and applicants for employment. No person shall be discriminated against or harassed because of race, religion, color, sex, age, national origin, disability, pregnancy, citizenship, veteran or military status, or any other protected status in accordance with federal, state or local law. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact talentacquistionteam@mybobs.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Senior Analyst, Assortment

About Our Client:Signet Jewelers operates as a leading retailer in the diamond jewelry industry, managing over 2,800 stores globally under multiple well-known brands. The organization addresses challenges in retail jewelry sourcing and sales, focusing on delivering value through diverse brand offerings and a strong commitment to inclusivity and community engagement. About the Opportunity:The SENIOR DATA ANALYST, FINANCE role supports financial planning, analysis, and reporting specifically related to inventory accounting, cost of goods sold, and financial performance within the diamond sourcing division. This position is key to providing accurate financial insights, enhancing visibility into operational metrics, and aiding decision-making processes to optimize inventory management and financial outcomes. Responsibilities:<ul><li>Analyze and report key financial metrics including inventory balances, reserves, gross margin, and COGS</li><li>Prepare and deliver periodic financial reports to management</li><li>Assist with month-end close activities including journal entries and reconciliations</li><li>Support forecasting, budgeting, and variance analyses</li><li>Develop and maintain financial dashboards and KPIs</li><li>Collaborate to maintain accurate physical inventory and resolve discrepancies</li><li>Analyze inventory transactions and support reporting accuracy</li><li>Partner with teams to improve inventory turnover and reduce inefficiencies</li><li>Manage pricing and costing data infrastructure, integrating multiple data sources</li><li>Develop SQL queries and data pipelines for consolidated reporting</li><li>Build analytical models to enhance automation and reporting reliability</li><li>Identify and implement process improvements in financial workflows</li><li>Support audit processes and SOX compliance</li><li>Work with IT and ERP teams to optimize reporting systems</li><li>Collaborate cross-functionally to provide financial insights</li></ul> Requirements:<ul><li>Bachelor&#x2019;s degree in Finance, Accounting, Business, or Economics</li><li>3-5 years of financial analysis and accounting experience, preferably in inventory or COGS</li><li>Knowledge of US GAAP focused on inventory and COGS accounting</li><li>Experience with ERP systems, preferably SAP, and financial reporting tools</li><li>Advanced analytical and Excel skills</li><li>Experience with data visualization tools such as Tableau, Alteryx, or Power BI</li><li>Strong communication skills for presenting to senior stakeholders</li><li>Attention to detail and accuracy</li><li>Ability to collaborate across departments</li><li>Comfortable working in a dynamic, fast-paced environment</li></ul> Pay Range and Compensation Package:<ul><li>The pay range and compensation package for this role will be determined based on the candidate&apos;s experience, skills, and other relevant factors.</li></ul> Benefits &amp; Perks:<ul><li>Comprehensive healthcare, dental, and vision insurance effective from day one</li><li>Generous 401(k) matching after one year</li><li>Paid time off and holidays</li><li>Employee discounts on merchandise</li><li>Learning and development programs</li></ul> Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

Sr. Data Analyst, Finance (REMOTE)

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview The Aerospace Defense and Marine (AD&amp;M) business of TE Connectivity is a global leader in the development and engineering of a comprehensive portfolio of contactors, relays, sensors, fiber optics, wires, cables, antennas, circuit protection products, and interconnect solutions for harsh environments. With a global customer base and more than 7,000 employees worldwide, AD&amp;M delivers innovative solutions that connect and protect critical applications across aerospace, defense, and marine markets. As part of the AD&amp;M Commercial Excellence organization, you will join a team of professionals committed to driving growth, enabling data-driven decision making, and accelerating digital transformation across the business. The AD&amp;M Commercial Excellence team has an opportunity for a Sales Operations Analyst IV to support the organization&apos;s analytics modernization, Power BI reporting, AI enablement, and data governance initiatives. This role will help drive the transition to OneData, Power BI, and AI-enabled business insights while supporting commercial leaders with actionable analytics and reporting solutions. The successful candidate will be a detail-oriented, analytical, and collaborative individual, who is comfortable working across business functions and translating complex data into practical insights in a fast-paced, dynamic environment. Please note: This position may involve working with technical data, technology, software/source code, hardware, or other items (collectively &#x201C;items) subject to U.S. and non-U.S. export control laws and regulations. Under these regulations, it may be necessary for TE to verify a candidate&#x2019;s national origin and/or citizenship status to determine whether a U.S. or other government export license is required prior to releasing its technologies to the candidate. If TE determines that TE will require a license or will be prohibited by applicable laws from providing the candidate with items necessary for the performance of this position, then TE expressly reserves the right to either a) make an offer of employment contingent upon TE receiving required export licenses from the appropriate government agency, b) consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions TE shall establish in its sole discretion, or c) decline to move forward with the candidate&#x2019;s application. Responsibilities &amp; Qualifications Develop, maintain, and enhance Power BI dashboards, reports, and scorecards to support commercial and business performance tracking. Analyze commercial performance data to identify trends, drivers, exceptions, and opportunities, and communicate actionable insights to business stakeholders. Support data validation, testing, and user acceptance testing (UAT) activities to ensure reporting accuracy, data integrity, and business readiness. Support AI-enabled reporting and analytics initiatives, including automated insights, dashboard summaries, self-service analytics, and approved enterprise AI capabilities. Partner with Sales, Finance, Product Management, Customer Care, Supply Chain, and Information Systems teams to gather requirements, define business and reporting needs, and translate them into scalable analytical solutions. Investigate and help resolve data quality issues while supporting KPI governance and reporting standards. Develop reporting documentation, user guides, and training materials that support adoption of analytics tools and solutions. Identify opportunities to improve reporting efficiency, automate manual processes, and enhance data-driven decision making. Qualifications What your background should look like: Bachelor&apos;s degree in Business, Finance, Data Analytics, Information Systems, Engineering, Computer Science, or a related field preferred or equivlent experience; Master&apos;s degree preferred. 6+ years of experience in business analytics, sales operations, business intelligence, finance, reporting, or a related analytical role. Experience creating and maintaining Power BI dashboards and reports. Advanced Microsoft Excel skills, including reporting, data manipulation, and analysis. Strong analytical and problem-solving skills with the ability to translate data into actionable business insights. Experience working with large datasets and multiple business data sources. Ability to manage multiple priorities and work effectively in a collaborative, cross-functional environment. Ability to communicate analytical findings and business insights clearly to both technical and non-technical stakeholders. Working knowledge of data modeling concepts, including data relationships, granularity, measures, and dimensional reporting structures, is preferred. Experience with SQL, Power Query, DAX, Salesforce, Databricks, or similar enterprise data platforms is preferred. Exposure to AI-enabled analytics tools, including Microsoft Copilot or similar technologies, is preferred. Experience supporting reporting modernization, automation, or migration initiatives is preferred. Competencies <ul><li>Power BI</li><li>Microsoft Excel</li><li>Power Query</li><li>Data Validation</li><li>DAX (preferred)</li><li>SQL (preferred)</li><li>OneData (preferred)</li><li>Databricks (preferred)</li><li>Microsoft Copilot and AI-enabled tools (preferred)</li><li>Data Modeling (preferred) </li></ul>Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork About Te Connectivity TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more. Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter). Compensation <ul><li> Competitive base salary commensurate with experience: $113,000 - $141,300 (subject to change dependent on physical location)</li><li> Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.</li><li> Total Compensation = Base Salary + Incentive(s) + Benefits </li></ul>Benefits <ul><li> A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits. </li></ul>EOE, Including Disability/Vets IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Sales Operations Analyst IV - Remote

At Allstate, great things happen when our people work together to protect families and their belongings from life&#x2019;s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers&#x2019; evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description The Data Analytics Engineer will help the Risk Data Team create a trusted, connected, and insight-driven risk ecosystem where high-quality data enables faster decisions, proactive risk management, and measurable improvements in control effectiveness. This hands-on role transforms fragmented risk, control, regulatory, and operational data into reliable, accessible, and actionable information through analytics, reporting, automation, governed datasets, and reusable data products. The role partners with risk, control, product, engineering, and leadership stakeholders to improve confidence in risk data, reduce manual reporting, and surface insights that help the organization understand trends, identify weaknesses, and prioritize action. Key Responsibilities <ul><li>Lead complex risk data analytics initiatives from requirements through delivery, validation, implementation, and operational support.</li><li>Partner with risk, control, regulatory, product, engineering, and leadership stakeholders to translate business questions into clear data, analytics, and reporting requirements.</li><li>Build and maintain trusted risk datasets, semantic models, dashboards, reports, and reusable analytics products using SQL, Power BI, Microsoft Fabric, Python, and advanced Excel.</li><li>Integrate and analyze information from internal platforms, vendor tools, external sources, and operational systems to create a connected view of risk and control performance.</li><li>Automate data collection, preparation, validation, reconciliation, refreshes, and recurring reporting processes to reduce reliance on spreadsheets and manual effort.</li><li>Define, document, and apply common risk metrics, data definitions, business rules, and quality standards so reporting is consistent, traceable, and trusted.</li><li>Produce analytics that identify trends, control weaknesses, emerging risks, performance gaps, and opportunities to prioritize risk action.</li><li>Support governed, analytics-ready data products that can safely enable leadership reporting, operational insight, automation, and future AI-based capabilities.</li><li>Establish best practices for data sourcing, transformation, quality, documentation, governance, access, and reporting adoption.</li><li>Coach analysts and enable stakeholders through technical consultation, reusable templates, training, and practical guidance on using trusted risk data. </li></ul>Experience: <ul><li>3 or more years of relevant experience in data analytics, business intelligence, risk analytics, data governance, operational reporting, or a related field.</li><li>Experience delivering analytics, reporting, or data product solutions from requirements through implementation and ongoing improvement.</li><li>Experience working with risk, compliance, controls, audit, cybersecurity, technology operations, insurance, or other complex business data is preferred.</li><li>Experience improving data quality, reconciling data sources, defining metrics, documenting business rules, or reducing manual reporting processes is preferred. </li></ul>Supervisory Responsibilities: <ul><li>This job does not have supervisory duties. </li></ul>Skills Business Analysis, Business Case Analyses, Business Model Development, Cyber Security, Data Analysis, Data Analytics, Data Governance, Data Quality, Risk Control Compensation Compensation offered for this role is 98,100.00 - 167,850.00 annually and is based on experience and qualifications. The candidate(s) offered this position will be required to submit to a background investigation. Joining our team isn&#x2019;t just a job &#x2014; it&#x2019;s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger &#x2013; a winning team making a meaningful impact. Allstate generally does not sponsor individuals for employment-based visas for this position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click &#x201C;here&#x201D; for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click &#x201C;here&#x201D; for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the &#x201C;EEO Know Your Rights&#x201D; poster click &#x201C;here&#x201D;. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs. To view the FMLA poster, click &#x201C;here&#x201D;. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint. It is the Company&#x2019;s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee&#x2019;s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee&apos;s terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment. Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs. When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter. Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

Data Analytics Engineer (Remote, US)

SENIOR DATA SCIENTIST
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<h3><a href="https://jobicy.com/company/peerspace" target="_blank" rel="noopener">Peerspace</a> is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital.</h3>
<h3> </h3>
<h3>Our people are the heart of Peerspace. We are a team that values inclusion and working cross functionally. Our strategy and objectives are clear and we support one another to exceed expectations. We believe that a healthy company culture creates an environment where people are excited to come into work everyday and contribute to building a successful organization. </h3>

The Role

We are looking for a senior data scientist to partner with our PED (Product, Engineering, Design) teams and our diverse business units to help them understand our users, our product performance and our marketplace as a whole. This role sits on our Analytics team and will report directly to the Head of Analytics.

The ideal candidate:
<ul>
<li>
Has a strong interest in using data to understand and address business and user problems
</li>
<li>
Can manage a diverse set of stakeholders and drive cross-functional alignment on analytical priorities
</li>
<li>
Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next
</li>
<li>
Is self motivated and can unblock themselves when the perfect dataset isn’t readily available or the business question isn’t clearly articulated
</li>
<li>
Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users 
</li>
</ul>
Responsibilities:

<ul>
<li>
Work closely with PED to set goals, understand how users are engaging with our product, and learn from experiments in our two-sided marketplace
</li>
<li>
Develop measurement frameworks and institute new metrics or reporting systems to help us understand our marketplace and users
</li>
<li>
Align cross-functional stakeholders on the priorities and analytical roadmap for critical areas of our business
</li>
<li>
Design and analyze experiments
</li>
<li>
Dive deep on user behavior and the dynamics of our marketplace
</li>
<li>
Unpack business trends and diagnose drivers of business performance
</li>
<li>
Collaborate with the rest of the Analytics and Data Engineering teams and the broader data community to grow and nurture data culture at Peerspace
</li>
</ul>
Technical Environment:

- Databases: Google BigQuery
- Tooling: dbt Cloud, Airflow, Git
- BI Tool: Tableau, Statsig (for A/B testing)
- Languages: SQL, Python
 Qualifications:
<ul>
<li>
5+ years of experience in data science, product analytics, or similar functions
</li>
<li>
Strong SQL skills and comfort working with large datasets
</li>
<li>
Experience building visualizations with Tableau, Looker or similar BI platforms
</li>
<li>
Proficient in communicating insights to business partners
</li>
<li>
Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities
</li>
<li>
Experience applying statistics and experiment design in a business context
</li>
<li>
Experience in at least one data-oriented language like Python, R or Julia
</li>
<li>
Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)
</li>
</ul>
Preferred Qualifications:

<ul>
<li>
Experience with another two-sided marketplace
</li>
<li>
Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context
</li>
</ul>
Working At Peerspace

The annual salary range for this role is $165,000 to $175,000. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.

Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including:

● 100% employee coverage of medical, dental and vision insurance
● Discount on all Peerspace bookings
● Laptop, high res display, and stipend to setup home office
● Monthly cell phone and internet credit
● Annual In person all company offsite and team-building events (in Peerspace locations, of course)
● Wellness Days observed company wide

Diversity

At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.

At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at help@peerspace.com so we can investigate. We only post our job openings and process applications, through our official careers page at<a href="https://jobs.lever.co/peerspace" rel="nofollow ugc noopener" target="_blank"> https://jobs.lever.co/peerspace</a>.
<h3>Compensation</h3>
<h3>Additional Information</h3>

Senior Data Scientist

<div>ABOUT YOU</div><div>We are looking for a Senior Data Analyst who is analytically rigorous, strategically minded, and a collaborative problem-solver to join our Advertising &amp; Rewards division. The Senior Data Analyst will collaborate with Operations, Product, Engineering, and Business Stakeholders by using data-driven insights to inform the design and optimization of <a href="https://himalayas.app/companies/xsolla">Xsolla</a>’s B2C apps/websites. Additionally, they’ll lead the design and execution of multivariate AB tests, analytics schema and dashboards/reports, generating recommendations that influence our roadmap and drive product and business performance. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive data-informed product decisions that shape how we reward and engage players at scale.</div><div>Strong analytical and statistical skills are essential, along with experience in quantitative analysis within games or other consumer-facing apps. The ability to translate complex datasets into clear, actionable recommendations for cross-functional stakeholders will be key to your success in this role. If you're passionate about uncovering insights that drive meaningful product outcomes and love building data infrastructure and experimentation frameworks that help game developers grow their businesses and delight their players, we would love to hear from you!</div><div>ABOUT US</div><div>
<a href="https://himalayas.app/companies/xsolla">Xsolla</a> is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with <a href="https://himalayas.app/companies/xsolla">Xsolla</a> to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, <a href="https://himalayas.app/companies/xsolla">Xsolla</a> is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, <a href="https://himalayas.app/companies/xsolla">Xsolla</a> operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.</div><div>For more information, visit .</div><h3>Responsibilities</h3><ul>
<li>Own data analysis for <a href="https://himalayas.app/companies/xsolla">Xsolla</a>'s new B2C apps and websites, generating insights that optimize how we reward and engage users.</li>
<li>Conduct descriptive, diagnostic, and prescriptive analysis — including product funnel mapping, user cohort analysis, and behavioral data modeling — to improve user experience and drive growth and engagement.</li>
<li>Define KPIs for the product and build automated dashboards, reports, and models that enable smarter, faster decision-making across the business.</li>
<li>Design, orchestrate, and analyze multivariate product experiments to drive growth, improve existing features, and test new areas of opportunity.</li>
<li>Apply advanced analytics techniques — including machine learning — to uncover player insights, forecast economic trends, and support monetization strategies, while ensuring outputs remain interpretable and actionable for stakeholders.</li>
<li>Collaborate with data, product, engineering, and business stakeholders to build business cases and forecasts for new feature development.</li>
</ul><h3>Qualifications &amp; Skills - Required</h3><ul>
<li>BA/BS in Mathematics, Statistics, Economics, or another quantitative field.5+ years of experience in quantitative analysis, preferably within games or other consumer-facing apps.</li>
<li>Fluency in SQL with demonstrated ability to work with highly dimensional and complex datasets.</li>
<li>Strong proficiency with Statsig or comparable A/B testing platforms.</li>
<li>Strong proficiency with Looker, Tableau, or other BI/data visualization tools.</li>
<li>Strong proficiency with Mixpanel, Amplitude, or other product analytics platforms.</li>
<li>Comfortable operating in a fast-paced, high-growth, startup-like environment.</li>
</ul><h3>Nice to Have</h3><ul>
<li>Experience with machine learning or predictive modeling in a product context.</li>
<li>Background in advertising, offerwall, or performance marketing analytics.</li>
<li>Familiarity with user acquisition and monetization metrics in mobile or free-to-play games.</li>
</ul><div>Benefits</div><div>We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.</div><div>Equal Employment Opportunity Statement</div><div>
<a href="https://himalayas.app/companies/xsolla">Xsolla</a> is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.</div><div>Criminal History Consideration</div><div>For the Marketing Coordinator – <a href="https://himalayas.app/companies/xsolla">Xsolla</a> Ads, we will conduct a background check that may include the following:Criminal history checkEmployment verificationEducation verificationCredit history checkProfessional license verification</div><div>
Relevance to Job Responsibilities: The background check is relevant to this position due to the following role responsibilities:</div><div>Accessing confidential company data</div><div>Rights Under the Fair Chance Act</div><div>Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact submitting the following job application form, you consent to <a href="https://himalayas.app/companies/xsolla">Xsolla</a> processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this <a href="https://himalayas.app/companies/xsolla">Xsolla</a> Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to .</div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Analyst - Xsolla Ads & Rewards

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text">
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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
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</div>
</div>
</div>
</div></div><h3>About the Role</h3>
Reddit’s Ads Creative Effectiveness team sits at the heart of our creative strategy, building GenAI and predictive products that help advertisers ship high-impact campaigns. We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that maximize clicks and conversions, and brand safe, product preserving image/video editing pipelines.
What you’ll do:
<ul>
<li>Advanced Generative Workflows: Architect and implement state-of-the-art pipelines for ad creative generation. You will move beyond vanilla prompting to build systems capable of product, font, logo and brand asset preservation using techniques like IP-Adapters, and LoRAs.</li>
<li>End-to-End Image &amp; Video Editing: Build editing capabilities allowing advertisers to smart-crop, inpaint, outpaint, resize, and style-transfer assets while maintaining strict brand guidelines.</li>
<li>LLM/VLM Fine-Tuning: Adapt large vision-language models to understand "winning" ad aesthetics. You will build feedback loops where ad performance metrics (CTR, CVR) are used to fine-tune the generation process (RLHF/RLPF for Ads).</li>
<li>Safety &amp; Compliance Layer: engineer robust filtering and safety systems. You ensure our models never generate non-compliant, unsafe, or copyright-infringing content.</li>
<li>Partner Broadly: Collaborate with Product, Sales, Policy, UX, and sibling Ads ML teams to integrate ACE capabilities into the Ad Manager UI and the ad delivery path.</li>
<li>Guardrails &amp; Safety: Embed brand-safety filters, copyright checks, and human-in-the-loop escalation paths to protect users and advertisers.</li>
</ul>
What we’re looking for:
<ul>
<li>Deep ML Expertise: Hands-on experience with tree models, neural nets, ranking, and especially LLM/VLM fine-tuning &amp; RLHF/RLPF for ads.</li>
<li>Quant &amp; Experimentation Chops: Comfort with uplift metrics, variance, minimum detectable effects and experimentation setups for generative systems.</li>
<li>Ads / Marketplace Insight: Understanding auction dynamics and advertiser pain points to create tools that drive revenue and retention.</li>
<li>Startup Mindset: Bias to action, comfort with ambiguity, and scrappiness: ACE evolved from a startup acquisition and still moves fast.</li>
<li>Communication Superpowers: Able to distill complex ML trade-offs for executives, product managers, and non-technical stakeholders alike.</li>
<li>Prior work on ad creative tooling: Headline generators, image generators, pre-test models, editing flows for the advertiser.</li>
</ul>
Nice-to-have
<ul>
<li>Experience navigating brand-safety, privacy, or copyright frameworks in generative AI products.</li>
</ul>
Benefits:
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</li>
</ul><div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$230,000&mdash;$322,000 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Staff Machine Learning Engineer, Ads Creative Effectiveness

<h2>About <a href="http://customer.io/" rel="nofollow ugc noopener" target="_blank">Customer.io</a></h2>Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. <a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a> powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.<h2>About the role</h2>Hi, my name is Maria Culkin, Analytics Manager at <a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a>, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.<h2>What we value</h2>Ownership: You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward.Curiosity: You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets.Analytical Rigor: You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence.Communication: You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.Collaboration: You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.<h2>What you'll do</h2><ul>
<li>Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.</li>
<li>Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.</li>
<li>Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.</li>
<li>Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.</li>
<li>Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.</li>
<li>Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.</li>
</ul><h2>What we're looking for</h2><ul>
<li>5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.</li>
<li>Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.</li>
<li>Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.</li>
<li>Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.</li>
<li>Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.</li>
<li>An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.</li>
</ul><h2>Why This Role</h2>This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.<h2>Compensation &amp; Benefits</h2>We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.<a href="https://customer.io/careers#:~:text=our%20collective%20success.-,BENEFITS,-Our%C2%A0" rel="nofollow ugc noopener" target="_blank">See full benefits here →</a><h2>Our Process</h2>No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.<ul>
<li>30-minute video call with Recruiter</li>
<li>45-minute video call with Hiring Manager</li>
<li>45-minute Technical Interview with Team Member</li>
<li>Take-Home Behavioral Analytics Assignment</li>
<li>60-minute Case Review with Team</li>
</ul>All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.<a href="http://Customer.io" rel="nofollow ugc noopener" target="_blank">Customer.io</a> recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official <a href="http://customer.io/" rel="nofollow ugc noopener" target="_blank">Customer.io</a> letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact <a href="mailto:jobs@customer.io" rel="nofollow ugc noopener" target="_blank">jobs@customer.io</a>.<h2>Join us!</h2>Check out our <a href="https://customer.io/careers/" rel="nofollow ugc noopener" target="_blank">careers page</a> for more information about why you should <a href="https://customer.io/about/" rel="nofollow ugc noopener" target="_blank">come work with us!</a> We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.

<div>
<h3>Data Scientist</h3>
<a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.
Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.
This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.
As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.
<h3>What You Will Do:</h3>
<ul>
<li>Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.</li>
<li>Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.</li>
<li>Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.</li>
<li>Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.</li>
<li>Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.</li>
</ul>
<h3>What You Will Bring:</h3>
<ul>
<li>0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.</li>
<li>Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.</li>
<li>Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.</li>
<li>Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.</li>
<li>Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.</li>
</ul>
<h3>Preferred Qualifications:</h3>
<ul>
<li>Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.</li>
<li>Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.</li>
<li>Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.</li>
</ul>
</div><div>
<h3>Who We Are</h3>
<div>A pioneer of Revenue Management, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a>’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.</div>
<div>Visa sponsorship is not available for this role. <a href="https://himalayas.app/companies/revenue-analytics">Revenue Analytics</a> embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Data Scientist

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At ExtraHop, we’re on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running.
Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you’d like to spend the next chapter of your career, we’d love to hear from you. 
</div><h3>Position Summary</h3>ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge solutions to protect organizations against evolving threats. Our Network Detection and Response (NDR) products empower businesses to detect, respond to, and mitigate cyber risks in real time.We seek a Principal Software Engineer to join our product development organization and serve as a technical anchor on our NDR platform. In this role, you will drive the architecture and execution of complex, high-impact engineering initiatives that define the future of our products. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security.<h3>Key Responsibilities</h3><ul>
<li>Design, write, and maintain robust, high-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors.</li>
<li>Design and develop autonomous AI agent architectures and multi-agent workflows. </li>
<li>Collaborate with data scientists, threat researchers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows. </li>
<li>Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices.</li>
<li>Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders.</li>
<li>Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation.</li>
<li>Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline. </li>
</ul><h3>Required Qualifications</h3><ul>
<li>Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li>
<li>8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software. </li>
<li>Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code.</li>
<li>Experience in machine learning, statistics, or a related quantitative discipline.</li>
<li>Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring.</li>
<li>Expertise in applying machine learning or data science techniques to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification.</li>
<li>Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows.</li>
</ul><h3>Preferred Qualifications</h3><ul>
<li>A strong fundamental understanding of network telemetry and protocols.</li>
<li>Prior experience working in the cybersecurity domain. Familiarity with threat actor techniques and common network attack vectors.</li>
<li>Familiarity with machine learning applications in cybersecurity.</li>
<li>Understanding of threat detection, intrusion prevention, and incident response strategies.</li>
<li>Deep experience with cloud services on AWS or Azure.</li>
<li>Deep experience with containerization and orchestration technologies including Docker and Kubernetes at production scale.</li>
<li>Strong written and verbal communication skills, including the ability to influence technical and non-technical audiences at the executive level.</li>
</ul>The salary range for this role is $175,000 - $198,000 + bonus + benefits <div class="content-conclusion">
<h3>ABOUT EXTRAHOP</h3>
ExtraHop is reinventing Network Detection and Response (NDR) to offer enterprises unparalleled visibility, context, and control against emerging threats. The platform integrates NDR with Network Performance Management (NPM), Intrusion Detection Systems (IDS), and forensics, providing a single, comprehensive solution. By decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments.
This comprehensive approach and market innovation have earned ExtraHop unique recognition as the only NDR vendor acknowledged as a leader by all major analyst firms, including the 2025 Gartner® Magic Quadrant for Network Detection and Response™, the 2025 Forrester® Wave for Network Analysis and Visibility, the 2024 IDC® Marketscape for NDR, and the 2025 Gigamon® Radar Report for Network Detection and Response. Since 2007, ExtraHop has consistently helped organizations worldwide extract in-depth network telemetry and contextual insights, affirming its commitment to protecting and empowering the connected enterprise.
<h3>OUR VALUES</h3>
Our culture is rooted in our five Values. These set the expectations for how we work individually and collectively as a team. 
Lead with Purpose: We are driven to deliver results that create a positive impact for our customers, partners, and colleagues.
Act with Integrity: We operate with transparency, authenticity, and always in the best interest of the company. 
Find a Way: We are resourceful, tackle hard problems with a sense of urgency and ownership, and do what it takes to get the job done.
Innovate: We listen to customers, partners, and the market, and respectfully push boundaries and challenge the status quo.
Share Success: We run together, we win together. We value diverse perspectives, hold space for all voices, and achieve the best results as a team. 
<h3>BENEFITS</h3>
Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following benefits:
<ul>
<li>Health, Dental, and Vision Benefits</li>
<li>Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time</li>
<li>Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan</li>
<li>FSA and Dependent Care Accounts + EAP, where applicable</li>
<li>Educational Reimbursement</li>
<li>401k with Employer Match or Pension where applicable</li>
<li>Pet Insurance (US Only)</li>
<li>Parental Leave (US Only)</li>
<li>Hybrid and Remote Work Model</li>
</ul>
Our people are our most important competitive advantage, leading the charge against cyber criminals. Join the fight today! 
To learn more, visit our website or follow us on LinkedIn. 
<h3>Create a Job Alert</h3>
Interested in building your career at ExtraHop? Get future opportunities sent straight to your email.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Principal Software Engineer  | Data Science

Required Clearance: Secret Required Education: Bachelor’s Degree Required Experience: Minimum of 3 years of experience<h3>Position Description</h3><a href="https://himalayas.app/companies/pingwind">PingWind</a> is seeking a Data Scientist II who will provide technical, analytical, and lifecycle support to the Maritime Electronic Warfare Systems Division (MEWSD) for critical U.S. Navy Electromagnetic Warfare (EW), Decoy, and Surface Electronic Warfare Improvement Program (SEWIP) systems. This role supports cradle-to-grave activities, including engineering, technology transition, installation, logistics, product support, test and evaluation, sustainment, maintenance, and repair. The Data Scientist II will integrate logistics, data science, reliability and maintainability engineering, and operations research to analyze and model complex systems, improve operational availability, and support data-driven decisions. This position directly contributes to optimizing warfighting capability, system readiness, reliability, and lifecycle performance while balancing mission requirements, performance, and cost.<h3>Responsibilities</h3><h3>Typical Responsibilities/Tasks:</h3><ul>
<li>Develop and implement analytical techniques and applications that transform raw data into meaningful, actionable information supporting operational and program decision-making. • Apply data mining, data modeling, statistical analysis, natural language processing (NLP), and machine learning techniques to analyze large structured and unstructured datasets. • Use data-oriented programming languages and analytical tools to collect, process, integrate, analyze, and interpret complex datasets. • Develop data models and algorithms to identify trends, patterns, relationships, anomalies, risks, and performance indicators. • Create effective data visualizations, dashboards, and dynamic reports that communicate complex analytical findings to technical and non-technical stakeholders. • Interpret analytical results and provide data-driven findings and recommendations to support system performance, readiness, reliability, maintainability, and operational availability. • Integrate logistics, engineering, maintenance, reliability, and operational data to support lifecycle management and sustainment analysis. • Develop and maintain repeatable analytical processes, models, and reporting solutions that improve data quality, consistency, traceability, and accessibility. • Collaborate with logisticians, engineers, operations research analysts, and program personnel to translate mission and business requirements into analytical solutions. • Prepare and present technical reports, analyses, visualizations, and briefings that enable timely, informed decision-making and continuous performance improvement.</li>
</ul><h3>Required Qualifications</h3><h3>• Minimum of 3 years of experience</h3>About Pingwind <a href="https://himalayas.app/companies/pingwind">PingWind</a> is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. <a href="https://himalayas.app/companies/pingwind">PingWind</a> is a VA CVE certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA HUBZone Certified with offices in Washington DC and Northern Virginia. www.<a href="https://himalayas.app/companies/pingwind">PingWind</a>.com<h3>Our benefits include:</h3><ul>
<li>Eleven Federal Holidays · Paid Time Off accrued each pay period · Parental Leave · Three medical plan choices with generous employer contribution · Dental and Vision Insurance · Company paid Short-Term and Long-Term Disability · Company paid Life and AD&amp;D Insurance · 401k with competitive matching and vesting schedule · Continuing education assistance · Short Term / Long Term Disability &amp; Life Insurance · Medical, Dependent Care and Commuter Flexible Spending Accounts · Employee Assistance Program · Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass) · 529 College Savings Plan · Legal Insurance · Pet Insurance Salary Range
</li>
</ul>The pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, certifications, experience, as well as internal equity mapping and alignment with market data, or other applicable laws.<h3>Veterans are encouraged to apply</h3><a href="https://himalayas.app/companies/pingwind">PingWind</a>, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law.Originally posted on <a href="https://himalayas.app">Himalayas</a>

Data Scientist II

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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
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</div></div>We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform.
This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness.
You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.
This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.
What you'll do:
<ul>
<li>Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field.</li>
<li>Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.</li>
<li>Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization.</li>
<li>Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs. Collaborate with ML/Ranking infra to ensure low-latency serving, high availability, and integration with MLOps systems.</li>
<li>Drive Cross-Team Integration &amp; Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.</li>
<li>Set Technical Bar &amp; Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices</li>
</ul>
Who you might be:
<ul>
<li>You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.</li>
<li>You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.</li>
<li>You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.</li>
<li>You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.</li>
<li>You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems,&nbsp; going beyond incremental improvements.</li>
<li>You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.</li>
<li>You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.</li>
<li>You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.</li>
<li>You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.</li>
</ul>
Benefits:
<ul>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</li>
</ul>
#LI-remote, #LI-JS5<div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$266,000&mdash;$372,400 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

Senior Staff Machine Learning Engineer, ML Understanding

Our Story TopDog Law is not your typical law firm. We&apos;re a nationally scaling personal injury firm built for impact and growth &#x2014; owning the client experience end-to-end, from marketing and intake through litigation. We believe that world-class marketing, paired with exceptional legal talent and operations, creates better experiences and outcomes for clients and the business alike. Over the past three years, we&apos;ve grown 2&#x2013;3x year over year, setting a new standard on the marketing side of the personal injury space and proving what&apos;s possible when strategy, speed, and execution align. Now we&apos;re applying that same discipline and innovation to firm operations, case management, and national scale &#x2014; intentionally building the infrastructure, systems, and teams to grow without sacrificing quality, culture, or accountability. We are a fully remote team that share trust, open communication, and a commitment to doing great work. If you love ownership, thrive in a fast-moving environment, and want to help build something exceptional, you&apos;ll feel right at home here. The Opportunity TopDog Law is one of the fastest-growing law firms in the U.S., blending cutting-edge technology, data driven decision-making, and elite legal talent to deliver exceptional outcomes for our clients. We are seeking a Sr Analyst, Law Firm Analytics to join our team who combines strategic judgment, analytical depth, and technical capability to elevate how data informs decision making across the organization. This is not a traditional back-office analytics role. The Analyst, Underwriting Analytics will support the team responsible for forecasting expected case value and modeling case outcomes, work that directly shapes operational and marketing decisions across the organization. This role focuses on executing rigorous data analysis across the case portfolio, maintaining and improving valuation models, and translating findings into clear, reliable outputs the broader business can act on. What You Will Own Technical &amp; Analytical Execution <ul><li>Write and optimize SQL queries to support case valuation modeling, reporting automation, and underwriting analysis</li><li>Leverage SQL, Excel/PowerPivot, Python, AI and other analytics tools to build and maintain reliable, scalable reporting</li><li>Apply structured problem-solving to well-defined and moderately ambiguous underwriting and case valuation questions</li><li>Stay informed on emerging analytics and AI capabilities that can enhance underwriting analytics practices </li></ul>Analytics and Reporting <ul><li>Build and maintain dashboards and reports that provide clarity to underwriting and operational leaders</li><li>Serve as an analytical resource supporting case valuation forecasting (CVFO) and related modeling across case types and segments</li><li>Support the definition and upkeep of KPIs used to monitor underwriting accuracy and case portfolio performance </li></ul>Performance Monitoring &amp; Insight Generation <ul><li>Analyze case outcomes, conversion rates, and portfolio performance against underwriting assumptions</li><li>Help identify discrepancies, trends, and anomalies across case types, states, and lead segments</li><li>Translate data findings into clear summaries and recommendations for the </li></ul>Underwriting Analytics Team <ul><li>Support forecasting and reconciliation work tied to case volume, vintage performance, and portfolio composition</li><li>Contribute ideas to improve existing models, queries, and processes&#x2014;not just maintain them as-is </li></ul>Required: What You Bring <ul><li>Strong analytical and problem-solving mindset with attention to detail</li><li>1-3 years of experience in business analytics, data operations, or a related quantitative field</li><li>Solid SQL skills with the ability to write and troubleshoot moderately complex queries against large datasets</li><li>Proficiency with Excel, including PowerPivot/DAX; exposure to Python or R is a plus</li><li>Ability to manage multiple priorities and meet deadlines in a fast-paced environment</li><li>Clear communication skills with the ability to present findings to both technical and non-technical audiences</li><li>High commitment to data integrity and accuracy</li><li>Thrives in a fast-paced, performance-driven, high-growth environment</li><li>Intellectual curiosity and an ownership mindset</li><li>Ability to take direction, prioritize effectively, and execute with speed </li></ul>Who Thrives Here (Core Values) We don&apos;t hire on resumes alone. We hire for competence, character, and mindset. <ul><li>Embrace Change: Open to feedback, embracing change, and always asking &quot;what&apos;s next?&quot;</li><li>Committed: You care deeply, have your teammates&apos; backs, and show up to build something lasting.</li><li>No-Ego Energy: Positive, professional, and solutions-oriented. Drama stays at the door.</li><li>Ownership: You do what you say, follow through, and treat the business like it&apos;s yours.</li><li>Fast &amp; Hungry: You move with urgency, thrive under high expectations, and are motivated by growth and impact. </li></ul>What We Offer <ul><li>Base Salary: $70,000.00 and $110,900.00 per year, commensurate with experience</li><li>Our job postings reflect the compensation range for the specific market and location of each role. Ranges vary by geography based on local market rates and cost of labor.</li><li>Benefits include: Medical, dental, and vision insurance, 401(k) with company match, HSA, life insurance, disability coverage, paid time off, and parental leave. </li></ul>Equal Opportunity Employer We are an equal opportunity employer. Employment selection and related decisions are made without regard to age, race, color, national origin, religion, sex, disability, sexual orientation, gender identification, or being a qualified disabled veteran or qualified veteran of the Vietnam era or any other category protected by Federal or State law. DISCLAIMER: TopDog Technologies, Inc. [TopDog Law, P.A.] [TopDog Law SE, PLLC] (&quot;TopDog&quot;) may use artificial intelligence (AI) and automated decision-making tools to assist in screening and evaluating candidates for employment positions, including whether to advance a candidate in the application process. These tools assess job-related qualifications and characteristics&#x2014;such as work experience, education, and skills relevant to the position as described in the job posting&#x2014;based on information you provide in your application materials (e.g., resume, application responses, and other submitted materials, if any). All adverse decisions affecting your candidacy are reviewed by a human member of our Talent Acquisition team before being finalized. AI does not make the final decision on your candidacy. If You Have Questions About This Notice, Wish To Request Additional Information About How AI Was Used In a Decision Affecting You, Wish To Request Correction Of Inaccurate Data, Or Need a Reasonable Accommodation That Is Required By Law Regarding TopDog Law&apos;s Use Of These Tools, Please Contact: Talent Acquisition Department | [recruitment@topdoglaw.com](mailto:recruitment@topdoglaw.com)

Analyst, Underwriting Analytics

Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey &#x2014; buy/sell, insurance, maintenance, repairs &#x2014; is fragmented, complicated, and expensive. Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We&apos;ve reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We&apos;re now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We&#x2019;re Hiring Our Data Science &amp; Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team of former McKinsey, BCG and Bain consultants who drive data &amp; insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it &#x2014; someone who doesn&apos;t just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As Our Business Continues To Expand, There Is Growing Demand For More Data Science Team Members. We Are Hiring 4-6 People To Drive Impact In These Areas <ul><li>Growth Marketing </li><li>Product Development</li><li>AI &amp; Automation</li><li>Strategic Partnerships </li></ul>On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won&apos;t) Like Working Here <ul><li>No slides: If you&apos;ve worked in consulting, you know what it feels like to be up at 3am reformatting a deck. That doesn&apos;t exist here. The only work that gets done at Jerry is work that will materially change the trajectory of our business &#x2014; an important product, a new growth channel, a key metric, a critical partner relationship, etc. </li><li>No corporate fluff: The Data Science &amp; Analytics team is 14 insatiable learners who care deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. </li><li>Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. </li></ul>What You&apos;ll Own You&apos;ll sit on our central Data Science &amp; Analytics team but you&#x2019;ll be embedded in one of Jerry&apos;s core business areas &#x2014; growth, product, AI and automation, strategic partnerships &#x2014; and own the analytical function for that business unit end-to-end. <ul><li>Define the right problems: Before any analysis, understand what business question it&apos;s answering and what decision it will inform. Push back if the question is flawed.</li><li>Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team&apos;s key metrics.</li><li>Drive outcomes: Bring recommendations to your counterparts in product, growth, finance or operations, tell them what&apos;s happening and why, and what next steps should be. </li></ul>Who You Are <ul><li>First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You&apos;re analytically strong (comfortable with SQL or Python) but your instinct is to ask &quot;what are we trying to solve here?&quot; before jumping to &quot;what should I build?&quot; </li><li>Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly, speak precisely, and don&apos;t bury the lede.</li><li>Owner: You act like your name is on the door. If something is broken, you feel responsible for fixing it, even if it&#x2019;s outside of your swim lane. </li></ul>What You&apos;ll Bring <ul><li>2+ years of experience at a consulting firm, investment bank, or high-growth technology company.</li><li>Strong analytical skills; ability to pull, structure, and interpret data independently.</li><li>Track record of owning ambiguous problems and delivering impact.</li><li>Clear, persuasive communicator who can influence decisions at the leadership level. </li></ul>Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. While we appreciate your interest and application, due to the volume of applications we receive, only applicants under consideration will be contacted. Please note: Jerry.ai is only able to hire full-time salaried employees who currently reside in AZ, CA, CO, FL, GA, IL, MA, NC, NJ, NV, NY, OR, TN, TX, UT, VA, or Ontario, Canada, and full-time hourly employees who currently reside in AZ, FL, GA, NV, NY, NC, TN, TX, UT, or VA. Unfortunately, we cannot accept applications from candidates residing elsewhere at this time. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai The successful candidate&#x2019;s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry is building the first AI-powered advisor to manage all your physical assets. Your car, home, and motorcycle aren&apos;t just purchases, they&apos;re the physical embodiment of the life you&apos;ve worked hard to build. Yet the experience of owning them is stuck in the 90s. Every step of the journey &#x2014; buying, insuring, maintaining, repairing, selling &#x2014; is fragmented, complicated, and expensive. Imagine having a trusted friend in your pocket who takes care of everything: they find you the right car or home at the right price, lock in the best insurance rate without you lifting a finger, remind you before that service appointment turns into an expensive repair, and help you sell at the best price when the time is right. That friend is Jerry. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We&apos;ve reached 5M+ customers, raised $240M+, and achieved profitability in 2024. We&apos;re now expanding into home, motorcycle, RV, and beyond. Led by serial entrepreneurs and backed by Y Combinator, our team comprises talented and big-hearted leaders from places like Nvidia, Meta, Amazon, BCG, McKinsey, Bain, and GEICO. Our culture is the #1 reason people join Jerry and stay &#x2014; we are a small and mighty team of competitive but kind people who think and act like owners, care deeply about the quality and impact of our work, and are relentless in our pursuit of learning and mastery over our craft. We are proud to consistently rank as one of Y Combinator&apos;s Top Companies, Forbes and Statista&apos;s Best Startup Employers, and to have received other accolades in fintech and insurtech innovation, workplace culture, and leadership. We are a remote-first company, but if you prefer in-person or hybrid, we also have offices in Palo Alto, New York City, Chicago, and Toronto.

IDR is seeking a Sr Insights Analyst to join one of our top clients for a remote opportunity.&#xA0;This role is ideal for someone with a strong background in data analytics, visualization, and talent insights, supporting strategic HR and business decisions through advanced reporting and analytics solutions. The organization is a leader in the industry, focusing on leveraging data to optimize workforce strategies.Position Overview for the Sr Insights Analyst:<ul><li>Leverage data, analytics, and predictive modeling to deliver actionable workforce insights.</li><li>Partner with HR and business leaders to develop dashboards, advanced analytics, and self-service reporting solutions.</li><li>Use tools such as SQL, Alteryx, and Power BI to create impactful data visualizations.</li><li>Lead high-impact analytics initiatives to enhance talent strategies and improve business outcomes.</li><li>Translate complex data into compelling stories that inform strategic decision-making.</li></ul>Requirements for the Sr Insights Analyst:<ul><li>3+ years using data transformation tools such as Alteryx.</li><li>3+ years in using SQL to query large datasets.</li><li>2+ years of solutioning, preparing, and visualizing data for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling).</li><li>Experience using RStudio or Python for automation or data processing such as statistical modeling, machine learning, or data mining.</li><li>Strong analytical and quantitative problem-solving ability.</li></ul>What&apos;s in it for you?<ul><li>Competitive compensation package</li><li>Full Benefits; Medical, Vision, Dental, and more!</li><li>Opportunity to get in with an industry leading organization.</li></ul>Why IDR?<ul><li>25+ Years of Proven Industry Experience in 4 major markets</li><li>Employee Stock Ownership Program</li><li>Dedicated Engagement Manager who is committed to you and your success.</li><li>Medical, Dental, Vision, and Life Insurance</li><li>ClearlyRated&apos;s Best of Staffing&#xAE; Client and Talent Award winner 12 years in a row.</li></ul>

Sr Insights Analyst

<ul><li>Role: Financial Data Analyst (Remote)</li><li>Location: Remote (United States)</li><li>Employment Type: Full-Time</li></ul> Job Overview:We are looking for a Financial Data Analyst who bridges the gap between financial theory and data engineering by creating automated financial dashboards and managing database pipelines. What You&apos;ll Do:<ul><li>Extract, clean, and analyze financial data using SQL, Python, or R.</li><li>Build automated dashboards in Tableau or Power BI for financial reporting.</li><li>Identify anomalies in large financial datasets and propose technical corrections.</li><li>Automate recurring manual financial reports to improve operational efficiency.</li><li>Collaborate with data engineering teams to refine financial data structures.</li></ul> What We&apos;re Looking For:<ul><li>Bachelor&#x2019;s degree in Data Analytics, Computer Science, Finance, or Statistics.</li><li>2+ years of experience analyzing large-scale financial data.</li><li>Strong proficiency in SQL and BI tools (Power BI, Tableau, Looker).</li><li>Solid understanding of foundational accounting and financial principles.</li></ul> Core Competencies for Success:<ul><li>Analytical Thinking: Ability to translate complex financial data into clear, actionable narratives.</li><li>Adaptability: Comfort working independently and thriving in a fast-paced, fully remote environment.</li><li>Attention to Detail: Commitment to maintaining 100% accuracy in financial reporting and compliance.</li><li>Cross-Functional Collaboration: Skill in presenting financial insights to non-technical stakeholders.</li></ul> Why You&#x2019;ll Love Working With Us:<ul><li>Remote-First Culture: We believe you do your best work when you have the flexibility to work from where you are most productive.</li><li>Meaningful Impact: You aren&apos;t just crunching numbers; your insights will directly influence our strategic growth.</li><li>Continuous Learning: We encourage professional development and support continuous learning in the ever-evolving finance sector.</li></ul> Equal Opportunity EmployerWe hire based on skills, expertise, and qualifications. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are evaluated based on demonstrated expertise and suitability for the role. Apply Now!

Financial Data Analyst (Remote)

<h3>WHO ARE WE?</h3>
<a href="https://launchpotato.com/careers?utm_source=greenhouse&amp;utm_medium=jobpost&amp;utm_campaign=careers-back-to-careers" rel="nofollow ugc noopener" target="_blank">Launch Potato</a> is the discovery and conversion company. We reach tens of millions of people every month through our brands, including <a href="https://financebuzz.com/?utm_source=greenhouse&amp;utm_medium=jobpost&amp;utm_campaign=careers-to-brand" rel="nofollow ugc noopener" target="_blank">FinanceBuzz</a>, <a href="https://allaboutcookies.org/?utm_source=greenhouse&amp;utm_medium=jobpost&amp;utm_campaign=careers-to-brand" rel="nofollow ugc noopener" target="_blank">All About Cookies</a>, and <a href="https://www.onlyinyourstate.com/?utm_source=greenhouse&amp;utm_medium=jobpost&amp;utm_campaign=careers-to-brand" rel="nofollow ugc noopener" target="_blank">OnlyInYourState</a>. We turn that attention into real outcomes for our partners, some of the world's leading companies.
Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment.
We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.
<h3>WHY JOIN US?</h3>
You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at <a href="https://jobicy.com/company/launch-potato" target="_blank" rel="noopener">Launch Potato</a>. 
BASE SALARY: $120,000 to $150,000 per year, paid semi-monthly
MUST HAVE:
<ul>
<li>Expert SQL &amp; Comfortable with Unstructured Complex Data: Extracts accurate insights from raw, unstructured data without relying on clean models</li>
<li>Reporting Ownership &amp; Data Literacy: Builds, standardizes, drives adoption, and leaves teams more data-literate</li>
<li>Performance Marketing Optimization: Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session</li>
<li>Advanced LookML Development (or equivalent in Power BI / Tableau): Architects complex models with full understanding of downstream impacts</li>
<li>Curiosity &amp; Business Depth: Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder</li>
</ul>
EXPERIENCE: Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business.
YOUR ROLE
Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners.
You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on.
Outcomes (Performance Expectations)
<ul>
<li>30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, i.e. identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals.</li>
<li>60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context.</li>
<li>90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established.</li>
<li>6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team.</li>
<li>Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings.</li>
</ul>
Competencies
<ul>
<li>Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions.</li>
<li>Reporting Ownership: Engages stakeholders to understand how reporting is used before building, i.e. creates dashboards that are adopted, not just delivered.</li>
<li>Business Acumen: Invests in understanding the business by asking the right questions before pulling the data.</li>
<li>Communication: Asks enough upfront to make sure the answer lands with the right context for the right audience.</li>
<li>Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view.</li>
<li>Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for.</li>
<li>Curiosity &amp; Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time.</li>
</ul>
TOTAL COMPENSATION
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. 
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Business Intelligence Lead, Performance Marketing

<h3>Who We Are</h3>
<a href="https://jobicy.com/company/imprint" target="_blank" rel="noopener">Imprint</a> helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate &amp; Barrel, Rakuten, <a href="http://Booking.com" rel="nofollow ugc noopener" target="_blank">Booking.com</a>, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank. 
In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you.

<h3>Role Summary</h3>
The Risk team at Imprint is responsible for making smarter, faster credit decisions that balance growth with responsible risk management. The team builds the models, policies, and analytical systems that power underwriting, fraud detection, and portfolio optimization across all of Imprint’s credit programs.
As a Data Scientist, Risk, you will own the modeling powering Imprint’s top-of-funnel credit decisioning—from application intake through approval—across every acquisition channel: direct affiliates (Credit Karma, NerdWallet), invitation-to-apply emails, direct mail, paid social, instant prescreens, and on-site applications. Your primary focus will be improving approval rates while maintaining credit quality: building better underwriting models, designing policy experiments, and uncovering segments where we can safely expand access to credit.
This role sits at the intersection of credit and acquisition strategy. You will partner directly with Credit Strategy, Product, Engineering, and Marketing to build targeting models for new channels, evaluate channel-level credit performance, and connect acquisition volume to downstream economics—approval rates, vintage loss forecasts, LTV, CAC, and contribution profit. Increasingly, that means building not just analyses but AI-powered systems that can autonomously monitor approval rate, channel performance, diagnose shifts, and recommend policy adjustments.

<h3>The Opportunity</h3>
<ul>
<li>
Own and improve the full top-of-funnel credit decisioning pipeline: application scoring, policy rules, decline waterfalls, and approval rate optimization across direct affiliates, invitation-to-apply, direct mail, paid social, instant prescreens, and on-site applications
</li>
<li>
Build and iterate on underwriting, targeting, and segmentation models that expand safe approvals and improve channel-level acquisition quality
</li>
<li>
Design and analyze A/B tests and champion/challenger experiments on credit policies, establishing a test-and-learn cadence with structured readouts on both acquisition and credit performance
</li>
<li>
Build channel-level performance models that connect application volume to downstream economics: approval rates, expected losses, LTV, CAC, and contribution profit
</li>
<li>
Design and build agentic workflows and AI-powered monitoring systems that autonomously detect approval rate anomalies, diagnose score drift and population mix changes, and recommend policy adjustments
</li>
<li>
Partner directly with Credit Strategy, Product, Engineering, and Marketing to develop targeting criteria and risk frameworks for new and emerging acquisition channels
</li>
<li>
Build segmentation frameworks to identify underserved populations where credit access can be responsibly expanded
</li>
</ul>
<h3>Your Profile</h3>

Required
<ul>
<li>
5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
</li>
<li>
Strong Python and SQL skills, with the ability to build models, transform raw data, and create custom datasets from complex financial data
</li>
<li>
Experience building credit risk or targeting models (scorecards, underwriting models, segmentation) or similar predictive modeling in a regulated environment
</li>
<li>
Deep understanding of statistical inference, experimentation design, and causal analysis, with the ability to disentangle policy impact from population shifts and channel mix changes
</li>
<li>
Comfort with AI tools and AI-native workflows; you actively use tools like Claude, Copilot, or similar to accelerate your work and are excited to build AI-powered analytical systems
</li>
<li>
Full-stack problem-solving orientation: you dive into messy data, trace a decline to its root cause, and question assumptions in pursuit of a better answer
</li>
<li>
Ability to present complex findings clearly to technical and non-technical audiences, including senior leadership and external partner stakeholders
</li>
<li>
Comfort owning projects end-to-end in a fast-moving startup environment with limited scaffolding, collaborating cross-functionally with Policy, Strategy, Product, and Engineering
</li>
</ul>
Nice to Have
<ul>
<li>
Experience with credit card underwriting, lending, or consumer credit products
</li>
<li>
Familiarity with credit bureau data (Vantage, FICO, tradeline attributes) and alternative data sources
</li>
<li>
Experience building or scaling experimentation infrastructure for credit policy testing
</li>
<li>
Exposure to fraud detection, KYC/IDV workflows, or application fraud models
</li>
<li>
Understanding of acquisition channel economics and experience partnering with marketing or credit strategy teams on targeting and LTV modeling
</li>
</ul>
We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply.

<h3>Stack</h3>
Python and SQL for modeling and analysis. Snowflake for data warehousing. AWS infrastructure. Dashboarding and monitoring tools for production systems.

<h3>Learn More</h3>
Learn more about how we build at Imprint on our engineering blog: <a href="https://medium.com/imprint-eng" rel="nofollow ugc noopener" target="_blank">https://medium.com/imprint-eng</a>

<h3>Perks &amp; Benefits</h3>
<ul>
<li>
Competitive compensation and equity packages
</li>
<li>
Leading configured work computers of your choice
</li>
<li>
Flexible paid time off
</li>
<li>
Fully covered, high-quality healthcare, including fully covered dependent coverage
</li>
<li>
Additional health coverage includes access to One Medical and the option to enroll in an FSA
</li>
<li>
20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents
</li>
<li>
Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity

</li>
</ul>
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Data Scientist, Risk

<div class="content-intro">About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the&nbsp;<a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>We are looking for a Staff Software Engineer to help improve the quality and velocity of data science at Pinterest. You will shape the future of the people-facing and business-facing products we build by creating rock-solid data foundations and tooling, and by leading a high-performance team that partners closely with our Core Data Science organization.
What you'll do:
<ul>
<li>Lead by example, and mentor a diverse team of analytics engineers with an inclusive culture.</li>
<li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams.</li>
<li>Build and prototype AI tools and analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed.</li>
<li>Use AI to accelerate analysis, prototyping, and iteration—drafting pipelines, exploring approaches, and automating repeatable documentation and QA—while applying judgment and verification to ensure correctness and quality.</li>
<li>Work closely with Data Scientists and Engineers to build tools and processes that enable self-service of key datasets, insights, and metric investigations.</li>
<li>Contribute to comprehensive documentation of tools and datasets, and drive the strategy for better data quality and data democratization within Pinterest.</li>
<li>Work cross-functionally to build and communicate key insights, collaborating with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.</li>
</ul>
What we're looking for:
<ul>
<li>6+ years of experience working with data in a fast-paced, data-driven environment.</li>
<li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R), including nested data structure manipulation, windowing functions, query optimization, and data partitioning techniques.</li>
<li>Experience conducting workflow orchestration and ETL/ELT with huge, complicated datasets and handling DAG data dependencies.</li>
<li>Consistent track record of supplying analytics solutions to existing teams, with the ability to take open-ended goals and scope them into defined, impactful objectives.</li>
<li>A team player able to partner with cross-functional leadership to quickly turn insights into actions, and an accountable operator who proactively identifies project opportunities amid competing priorities.</li>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a strong track record of critical evaluation and verification of AI-assisted work (testing, source-checking, data validation, peer review).</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.</li>
<li>Bachelor's, Master's, or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, or equivalent experience.</li>
<li>Desired but not required:
<ul>
<li>Experience in automation, anomaly detection, or infrastructure/workflow optimization.</li>
<li>Experience building internal tooling to maximize engineering velocity.</li>
</ul>
</li>
</ul>
Relocation Statement: 
<ul>
<li>This position&nbsp;is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</li>
</ul>
In-Office Requirement Statement: 
<ul>
<li>We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.</li>
</ul>
#LI-REMOTE
#LI-AG8<div class="content-pay-transparency"><div class="pay-input"><div class="description">At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</div><div class="title">US based applicants only</div><div class="pay-range">$177,185&mdash;$364,795 USD</div></div></div><div class="content-conclusion">Our Commitment to Inclusion:
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete&nbsp;<a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support.</div>
<div>&nbsp;</div>
<div>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</div></div>

Staff Software, Engineering – Analytics Engineering, Core Data Science

<div class="content-intro">We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team 
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. <a href="https://www.instacart.careers/flex-first" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://instacart.careers/remote/&amp;source=gmail&amp;ust=1651869232122000&amp;usg=AOvVaw37OlxP8hAKN7nq4YwHQH7e">Learn more about our flexible approach to where we work.</a></div><h2>Overview</h2>
We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design.
<h2>About the Job</h2>
<ul>
<li>Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure</li>
<li>Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation</li>
<li>Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions</li>
<li>Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights</li>
<li>Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale</li>
</ul>
<h2>About You</h2>
<h3>Minimum Qualifications</h3>
<ul>
<li>Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers</li>
<li>Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling</li>
<li>Experience defining KPIs, and optimizing funnel for product market fit</li>
<li>Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders</li>
<li>4+ years of work experience in a data science or related field</li>
<li>Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes.</li>
<li>Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects.</li>
<li>Proven impact improving logging, instrumentation, and metric definitions in complex data environments.</li>
<li>Experience launching new features in new markets, or launching 0-1 initiatives</li>
</ul>
&nbsp;
#LI-Remote<div class="content-pay-transparency"><div class="pay-input"><div class="description">Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy <a href="https://instacart.careers/flex-first/" target="_blank">here</a>.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings <a href="https://instacart.careers/taste-of-instacart/" target="_blank">here</a>. For US based candidates, the base pay ranges for a successful candidate are listed below.</div><div class="title">CA, NY, CT, NJ</div><div class="pay-range">$194,000&mdash;$204,500 USD</div></div><div class="pay-input"><div class="title">WA</div><div class="pay-range">$185,000&mdash;$195,500 USD</div></div><div class="pay-input"><div class="title">OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI</div><div class="pay-range">$177,000&mdash;$187,000 USD</div></div><div class="pay-input"><div class="title">All other states</div><div class="pay-range">$161,000&mdash;$170,000 USD</div></div></div>

Senior Data Scientist I - Meals

<div class="content-intro">We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team 
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. <a href="https://www.instacart.careers/flex-first" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://instacart.careers/remote/&amp;source=gmail&amp;ust=1651869232122000&amp;usg=AOvVaw37OlxP8hAKN7nq4YwHQH7e">Learn more about our flexible approach to where we work.</a></div><h2>Overview</h2>
Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform.
In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the full research-to-production loop — from problem framing and modeling to experimentation, measurement, and iteration in live systems.
<h2>About the Job</h2>
<ul>
<li>Own the analytics and experimentation strategy for pacing, targeting, and related optimization areas, driving measurable improvements in advertiser outcomes and platform efficiency</li>
<li>Design and build intelligent pacing algorithms and budget allocation systems grounded in adaptive control and model-predictive control techniques, deployed in high-throughput production environments</li>
<li>Lead end-to-end experimentation across optimization systems — designing experiment frameworks, diagnosing complex or conflicting signals, and translating results into clear, actionable recommendations for Product and Engineering leadership</li>
<li>Apply causal inference, statistical modeling, and ML techniques to optimize how ad spend is distributed across time and auction opportunities, balancing user experience, advertiser goals, and platform revenue</li>
<li>Present findings and strategic recommendations to leadership across Product, Engineering, and Data Science</li>
<li>Serve as a thought leader and technical anchor in the Ads Optimization space, setting the analytical standard and mentoring peers across the team</li>
<li>Collaborate with the Ads Product and Sales teams to gather advertiser feedback and inform optimization priorities</li>
</ul>
<h2>About You</h2>
<h3>Minimum Qualifications</h3>
<ul>
<li>Proven experience in ads optimization at an ad tech company (e.g., Google, Meta, Amazon, TikTok, or equivalent), with hands-on work in pacing, targeting, budget allocation, or related systems</li>
<li>Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling</li>
<li>Experience shipping optimization systems into production — not just research, but real measurement and iteration in live environments</li>
<li>Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders</li>
<li>6+ years of work experience in a data science or related field</li>
</ul>
<h3>Preferred Qualifications</h3>
<ul>
<li>Experience collaborating directly with an ads product or sales team, or with advertisers, to shape product and algorithmic priorities</li>
<li>Background in budget-constrained allocation methods, adaptive control, or model-predictive control in production systems</li>
</ul>
#LI-Remote<div class="content-pay-transparency"><div class="pay-input"><div class="description">Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy <a href="https://instacart.careers/flex-first/" target="_blank">here</a>.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings <a href="https://instacart.careers/taste-of-instacart/" target="_blank">here</a>. For US based candidates, the base pay ranges for a successful candidate are listed below.</div><div class="title">CA, NY, CT, NJ</div><div class="pay-range">$218,000&mdash;$230,000 USD</div></div><div class="pay-input"><div class="title">WA</div><div class="pay-range">$209,000&mdash;$220,500 USD</div></div><div class="pay-input"><div class="title">OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI</div><div class="pay-range">$200,000&mdash;$211,000 USD</div></div><div class="pay-input"><div class="title">All other states</div><div class="pay-range">$182,000&mdash;$192,000 USD</div></div></div>

Senior Data Scientist II - Ads Optimization

<div class="content-intro">
<h3>Who is <a href="https://himalayas.app/companies/boulevard">Boulevard</a>? </h3>
<a href="https://himalayas.app/companies/boulevard">Boulevard</a> provides the first and only client experience platform for appointment-based, self-care businesses. We empower our customers to give their clients more of the magical moments that matter most.
Before launching in 2016, our founders spent months interviewing salon managers and working behind front desks to understand their pain points so we could design a modern, user-friendly platform that meets the unique needs of their business. Our roots may be in hair salons, but we are built for the broader self-care industry, including many types of salons, spas, medspa, barbershops, and more. Our technology not only helps our customers survive but thrive. Take a look at how we (and YOU) can make that happen. 
We have an insatiable curiosity and embrace experimentation. We believe that simple solutions require the most sophistication, and we design each and every detail to maximize potential, power, and impact. Do our values match? Read through our story and what we value the most.
Our team values and celebrates our diverse backgrounds. Being open about who we are and what we do allows us to do the best work of our lives. We believe in equal opportunity for all, and you should too.
</div><h3>Come Do The Best Work of Your Life at <a href="https://himalayas.app/companies/boulevard">Boulevard</a>.</h3><a href="https://himalayas.app/companies/boulevard">Boulevard</a> is the client experience platform purpose-built for salons, spas, medspas, and wellness businesses. More than 5,000 businesses use <a href="https://himalayas.app/companies/boulevard">Boulevard</a> to manage scheduling, payments, marketing, and client relationships — processing over $5 billion in payments annually. We’ve raised $188M in funding and are growing fast, particularly as we expand upmarket into multi-location and franchise operators.We’re looking for a Staff Data Scientist to build <a href="https://himalayas.app/companies/boulevard">Boulevard</a>’s Product Intelligence function and own its core responsibilities. You have deep and broad experience in as many of these three disciplines 1. Doing the engineering work to build and maintain the tech stack 2. Data analysis and insights on product feature use to support product decisions 3. Using data science approaches like experiment design, measuring experiment results and building models that helps us understand customer behavior and customer product use better. You know what good looks like, you hold yourself and your work to that standard, and you don’t wait to be asked before surfacing what matters.This role requires someone who is genuinely energized by ambiguity. There is no well-worn path to follow, you’ll be defining the questions, building the infrastructure to answer them, and charting the course forward — often without perfect information. That’s not a warning; for the right person, it’s the whole appeal.You operate with the mindset of a team builder — creating processes, documenting best practices, and working with the structure and rigor that makes this function scalable from day one.<h3>Key Responsibilities</h3><ul>
<li>Build <a href="https://himalayas.app/companies/boulevard">Boulevard</a>’s product data foundation - partnering across the Product Development organization to define what needs to be captured and how, and designing the models and the tech stack that translate raw data into clean, reliable and scalable analysis-ready assets in partnership with data engineering</li>
<li>In tight partnership with Product, develop data-driven recommendations that inform strategy and drive action — through engaging narratives, effective data storytelling, and visualizations adapted to the audience, from individual contributors to executive leadership</li>
<li>Build scalable, intuitive and self-serve dashboards that empower teams and stakeholders to independently explore data and make informed strategic decisions; fostering a data-driven culture by educating and enabling stakeholders to interpret data and act on it with confidence. Operationalize product analytics. Connect product analytics to OKRs and business outcomes.</li>
<li>Own deep-dive and exploratory analyses that up-level understanding of customers and their relationship with the product (e.g. funnel analysis, retention curves, cohort behavior, feature adoption) — surface insights proactively and build analytical narratives that support strategic business cases and influence product direction</li>
<li>Be the bridge between product data and the broader organization — ensuring insights actively inform and influence cross-functional decisions and outcomes</li>
<li>Create team processes and analytical workflows that enforce data accuracy and scale as the function grows; advocate for the tooling investments the team requires</li>
<li>Experimentation, design, not just readout. Own the experimentation practice for Product Development — partner with PMs and engineering to design experiments before feature releases (hypothesis, primary and guardrail metrics, unit of randomization, power and duration), then run the analysis and deliver a clear, defensible read on impact. Establish the standards, templates, and Statsig/tooling workflows that make experimentation the default way <a href="https://himalayas.app/companies/boulevard">Boulevard</a> evaluates a feature launch, and be honest about when a clean test isn't possible — designing the best available quasi-experimental read (pilot cohorts, staged rollouts, difference-in-differences, pre/post with controls) instead.</li>
<li> Modeling customer behavior. Apply statistical and machine learning methods to explain and predict customer behavior — propensity and adoption models, retention and churn risk, segmentation and clustering of usage patterns, time-to-value and activation modeling, and driver analysis that separates correlation from cause. Choose the simplest method that answers the question, validate rigorously (holdouts, backtesting, recall/precision trade-offs framed by business cost), and communicate uncertainty as clearly as the point estimate.</li>
<li> Get model output into the workflow. Take models from analysis to production — partner with data engineering to schedule, monitor, and version them, and land the output where it drives action (in-product surfaces, Gainsight, Salesforce, CSM and PM workflows). Own model performance over time, including drift, retraining, and retiring models that stop earning their keep.</li>
</ul><h3>What You’ll Need to Thrive</h3><h3>Required</h3><ul>
<li>8+ years of proven experience in data science or product analytics or engineering in a B2B SaaS or high-growth technology environment, with meaningful time spent in early-stage or low data-maturity environments — you’ve built the foundation, not just worked on top of one someone else laid. Act Like an Owner
</li>
<li>Fluency with data analysis and BI tools: SQL, analytical tools like Python / Jupyter notebooks, Snowflake, DBT, Sigma for data and reporting pipelines and AWS infrastructure to productionalize analytics / models in a repeatable way; strong proficiency with data modeling. Know Your Sh*t
</li>
<li>Direct experience designing and executing product instrumentation strategies — defining event schemas, authoring tracking plans, and ensuring reliable data capture in partnership with product and engineering</li>
<li>Expertise in building dashboards and visualizations using platforms such as Sigma, Looker, Tableau, or similar — with a track record of creating self-serve tools that teams actually use</li>
<li>Significant experience working directly with product managers and leaders — translating data findings into actionable opportunities and tradeoffs that drive strategy and roadmap investment</li>
<li>Demonstrated ability to design and execute deep-dive analyses across the full product lifecycle — including funnel diagnostics, cohort and retention modeling, and behavioral segmentation — translating statistical findings into clear, decision-ready narratives for product and leadership audiences</li>
<li>Deep, hands-on statistical and machine learning expertise applied to customer behavior. Regression and classification, propensity and churn-risk modeling, clustering and behavioral segmentation, survival and time-to-value analysis — with the judgment to reach for the simplest method that answers the question, validate it honestly, and communicate uncertainty as clearly as the estimate. Know Your Sh*t
</li>
<li>Proven experience owning experimentation end to end, designing tests before a feature ships (hypothesis, primary and guardrail metrics, randomization unit, power and duration), running the analysis, and delivering a defensible read on impact. Hands-on experience on a platform such as Statsig, Optimizely. Equally important: the causal-inference toolkit and the judgment to use it when a clean A/B test isn't possible. Know Your Sh*t
</li>
<li>Ability to build and own your own data pipelines. Production-grade DBT models, transformations, and orchestration in Snowflake, written in code with tests, documentation, and version control. You're self-sufficient from raw event to analysis-ready asset, and you partner with data engineering on platform and scale rather than waiting in their queue. Act Like an Owner
</li>
<li>Clear, confident communication with stakeholders at any level — you can build a narrative that lands with a PM or the executive team, and you deliver it with the kind of presence that builds trust. Show Up With Style
</li>
<li>High level of ownership with a demonstrated ability to manage projects end-to-end, identify opportunities, navigate ambiguity, and build processes that scale — comfortable thriving in fast-paced, dynamic environments with multiple competing priorities. Make an Impact
</li>
<li>Proven track record of partnering cross-functionally and using product data to influence leadership decisions and outcomes — whether shaping go-to-market strategy, informing customer success priorities, or driving alignment across teams; you earn trust by being direct, generous with knowledge, and consistent in how you show up</li>
</ul><h3>Preferred</h3><ul><li>Experience evaluating or implementing product analytics tooling such as Amplitude, Mixpanel, or similar platforms</li></ul><h3>Why This Role Matters</h3><a href="https://himalayas.app/companies/boulevard">Boulevard</a> is at an inflection point. We’re scaling upmarket, expanding our product surface, and making bigger bets on where the business goes next. Every one of those bets requires a trusted picture of what’s happening in the product today.<ul>
<li>Product teams can’t build with conviction without knowing how customers use what we’ve already shipped — that’s you</li>
<li>New launches succeed or fail quietly without the instrumentation and frameworks to measure them — that’s you</li>
<li>The path to stronger ARR runs through understanding which customers get the most value, and why — that’s you</li>
<li>Leadership can’t make the right strategic bets without a reliable, trusted source of truth for product performance — that’s you</li>
</ul>This is foundational work that compounds. What you build in the first year will shape how <a href="https://himalayas.app/companies/boulevard">Boulevard</a> makes product decisions for the next five.<h3>Compensation</h3>At <a href="https://himalayas.app/companies/boulevard">Boulevard</a>, we work hard to structure compensation in a way that balances internal equity with local market competitiveness, and we’re happy to share a good-faith estimate of the base salary range for this role. For candidates in NYC, the SF Bay Area, and Seattle, the anticipated base salary range is $164,000 - $205,000 per year. For all other U.S. locations, the anticipated base salary range is $171,400 - $201,800 per year. In addition to this base compensation, this role may be eligible to participate in a variable compensation program. Final compensation will vary based on a variety of factors which include but are not limited to applicable experience, location, and final leveling.<div class="content-conclusion">
<h4>How We Take Care of Our Team</h4>
Our business is deeply immersed in an industry that’s centered around helping people feel their best, so we know that taking care of yourself isn’t selfish; it’s essential. That’s why our culture pairs high standards with genuine care. We don't glorify burnout or wear ‘always on’ as a badge of honor. Instead, we’ve created benefits designed to support you inside and outside of work, so you can bring your best self to both.
<h3>Here’s how we support you:</h3>
<ul>
<li>Competitive base pay and performance bonus eligibility because you deserve to be rewarded for your impact.</li>
<li>Equity participation for all full-time employees because we believe the people helping build <a href="https://himalayas.app/companies/boulevard">Boulevard</a> should share in our long-term success.</li>
<li>Comprehensive medical coverage with up to 100% employee premium coverage and 75% dependent coverage to help take care of you and your loved ones.</li>
<li>An annual $1,200 HSA employer contribution for eligible plans to help support healthcare costs and future planning.</li>
<li>100% covered dental, vision, life, and disability insurance, ensuring you stay healthy, protected, and ready for whatever life brings.</li>
<li>12 weeks of fully paid U.S. parental leave supporting all new parents equally as they take the time to bond, adjust, and be present when welcoming a new family member.</li>
<li>Flexible paid time off, plus 10 U.S. company holidays, where you are encouraged to rest, recharge, and take the time you need, guilt-free. </li>
<li>Fully remote with support, including a $200 home office setup allowance and a $50 monthly WFH reimbursement so your workspace is set up for success. </li>
<li>$200 quarterly <a href="https://himalayas.app/companies/boulevard">Boulevard</a> Bucks to prioritize your well-being and stay connected to the industry we serve.</li>
<li>And other perks like One Medical membership and Employee Assistant Program.</li>
</ul>
To learn how <a href="https://himalayas.app/companies/boulevard">Boulevard</a> collects, uses, and protects personal information related to candidates and employees, please review our <a href="https://himalayas.app/companies/boulevard">Boulevard</a> Employee &amp; Personnel Privacy Notice.
<a href="https://himalayas.app/companies/boulevard">Boulevard</a> Labs, Inc. is an Equal Opportunity Employer committed to hiring a diverse workforce and sustaining an inclusive culture. All employment decisions at <a href="https://himalayas.app/companies/boulevard">Boulevard</a> Labs, Inc. are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Staff Data Scientist

At Affirm, we exist for the moments that matter&#x2014;giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About The Risk &amp; Analytics Team The Risk &amp; Analytics (R&amp;A) team makes crucial decisions that direct Affirm&#x2019;s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Analyst I roles across Affirm&apos;s Risk &amp; Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&amp;A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential Team Placements Include <ul><li>Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel.</li><li>Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm&apos;s app, web, and card experiences.</li><li>Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience.</li><li>Core Analytics: Build the quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound decisions.</li><li>Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency.</li><li>International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. </li></ul>About The Role As an Analyst I in Affirm&apos;s Risk &amp; Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Analyst I roles share a common foundation: using data to understand business performance, identify opportunities, and help Affirm make better decisions. You will learn the fundamentals of consumer lending while executing scoped analytical work under the guidance of senior analysts and managers. You will leverage SQL, Python, and modern analytical tools to help optimize business strategies, monitor performance, and turn complex data into actionable insights. You are a thoughtful, driven individual eager to build a strong technical foundation, learn how to navigate exogenous market changes, and integrate modern AI tooling to solve hard problems efficiently. What You Will Do <ul><li>Derive Insights &amp; Support Strategy: Leverage data analytics to uncover insights that help optimize product, risk, or growth strategies across geographies.</li><li>Monitor Portfolio Health: Assist in tracking performance metrics, user behavior, and macroeconomic trends that impact business outcomes, flagging risks and anomalies to senior team members.</li><li>Technical Execution: Write clean, working SQL and Python to build scalable reporting and partner with Engineering to support the deployment of machine learning and risk models.</li><li>Cross-Functional Collaboration: Work closely with Product, Legal, and Compliance to understand evolving consumer lending regulations and market requirements, assisting in translating them into foundational data models and operational policies.</li><li>Drive Launch Alignment: Support cross-functional discussions to ensure new product launches and market entries align with our operational capabilities and risk appetite.</li><li>AI Fluency &amp; Efficiency: Integrate AI tools such as Cursor, Claude Code, and copilots into your daily workflows to accelerate data mining and routine tasks, while carefully verifying outputs. </li></ul>What We Look For <ul><li>1&#x2013;3 years of experience in an analytically driven role. Relevant internships or prior experience in consumer lending, fintech, or the broader financial services industry are highly valued.</li><li>Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field.</li><li>Solid working knowledge of SQL, Python, or other scripting languages.</li><li>Familiarity with data mining, data visualization, and foundational statistical modeling.</li><li>Basic understanding of, or deep curiosity about, consumer lending regulations, fair lending principles, and how machine learning techniques apply to real-world business problems.</li><li>Exceptional communication skills, humility, and the ability to collaborate effectively with cross-functional peers. </li></ul>Pay Grade - I Equity Grade - 5 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). USA base pay range (CA, WA, NY, NJ, CT) per year: $115,000 - $165,000 USA base pay range (all other U.S. states) per year: $101,000 - $151,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits Designed For You Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: <ul><li>Health coverage at no cost: We cover 100% of premiums for employees and their dependents.</li><li>Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.</li><li>Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.</li><li>Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. </li></ul>We&#x2019;re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we&#x2019;re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking &quot;Submit Application,&quot; you acknowledge that you have read Affirm&apos;s Global Candidate Privacy Notice and consent to the use of your personal information as described.

Analyst

Junior Data Scientist&#x1F4CD; Remote (United States) | Full-Time About the Role We&apos;re looking for a Junior Data Scientist to join a growing analytics team focused on building data-driven solutions and improving business performance through modern technologies. This role is ideal for someone who enjoys working with data, automation, and emerging AI tools in a collaborative, fast-paced environment. You&apos;ll work alongside analysts, engineers, and business stakeholders to support reporting, forecasting, automation, and advanced analytics initiatives across different business areas. Key Responsibilities - Analyze and interpret large datasets to support business decision-making- Develop and maintain automated workflows using Python and SQL- Create dashboards, reports, and visualizations using BI and analytics tools- Support predictive analytics, segmentation, and forecasting projects- Assist in building scalable reporting and data processing solutions- Collaborate with technical and non-technical teams to translate business needs into data solutions- Contribute to the maintenance and optimization of data models and pipelines Requirements (Must-Have) - Experience working with Python for data analysis, scripting, or automation- Strong SQL knowledge and experience querying relational databases- Familiarity with business intelligence or data visualization tools (e.g. Power BI, Tableau)- Basic understanding of machine learning concepts (e.g. regression, classification)- Foundational knowledge of statistics (hypothesis testing, distributions, correlation)- Strong analytical thinking and problem-solving ability- Clear communication skills &#x2014; able to explain data insights to non-technical audiences Nice-to-Have - Understanding of cloud-based analytics or modern data platforms (AWS, GCP, Azure)- Interest in AI-enabled workflows, automation, or applied data science- Prior exposure to predictive modeling or forecasting projects What We Offer - Remote and flexible working environment- Opportunity to work on modern analytics and AI-focused projects- Supportive, collaborative team culture- Professional development and learning opportunities- Exposure to cloud technologies, automation, and scalable data solutions- Career growth within an expanding team- Performance-based incentives- Wellness and work-life balance support --- About Why HiringAt Why Hiring, we connect talented individuals with remote job opportunities, simplifying the job search and helping professionals find fulfilling roles regardless of geography. Why Hiring does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other status protected by law.

Jr. Data Scientist

<h3>About <a href="https://jobicy.com/company/quilter" target="_blank" rel="noopener">Quilter</a></h3>

At Quilter, we are helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Our small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC). We are inventing and leveraging novel techniques to solve the decades-old problem of automating circuit board design where today hundreds of billions of dollars are spent. We have raised $25 million in Series B funding from some of the very best and are charging full-speed toward our goal.
No matter where we come from, we're united by a common vision for the future and a core set of values we think will get us there:
<ol>
<li>
Focus on the mission
</li>
<li>
Build great things that help humans
</li>
<li>
Demonstrate grit
</li>
<li>
Never stop learning
</li>
<li>
Pursue excellence
</li>
</ol>
We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs.

<h3>The Role</h3>
The Placer is responsible for automated component placement on PCBs. This role spans the full lifecycle: research, prototyping, productionization, and maintenance. You'll work across optimization, machine learning, and geometric deep learning on a hard, real-world combinatorial problem.
This is a fully distributed team. We expect high autonomy and high ownership.

<h3>What Youʼll Do</h3>
<ul>
<li>
Own problems end-to-end from exploratory R&amp;D through production-hardened, maintainable systems
</li>
<li>
Develop and extend GPU-accelerated code in PyTorch and CUDA C++
</li>
<li>
Work across a broad modeling landscape including RL, graph neural networks, black-box/classical optimization, and generative modeling
</li>
<li>
Formulate objectives, model constraints, and debug numerical behavior in the stack
</li>
<li>
Contribute to technical direction and research strategy alongside senior teammates

</li>
</ul>
<h3>What Weʼre Looking For</h3>
<ul>
<li>
5+ years of industry experience in ML, optimization, or a related field
</li>
<li>
Strong fundamentals in machine learning and optimization
</li>
<li>
Production PyTorch experience
</li>
<li>
Demonstrated ability to work across research and production codebases
</li>
<li>
Comfort operating with high autonomy in ambiguous problem spaces
</li>
<li>
Strong communication and collaboration skills
</li>
</ul>
<h3>Preferred</h3>
<ul>
<li>
5–7 years of industry experience (Staff-level appointment may be considered)
</li>
<li>
CUDA C++ experience
</li>
<li>
Background in any combination of: reinforcement learning, geometric deep learning, graph neural networks, multi-objective optimization, combinatorial optimization
</li>
</ul>
Please note: We are an equal opportunity employer. At this time, we are focused on hiring primarily within the US, with occasional exception to accommodate exceptional talent.

<h3>What we offer:</h3>
<ul>
<li>
Interesting and challenging work
</li>
<li>
Competitive salary and equity benefits
</li>
<li>
Health, dental, and vision insurance
</li>
<li>
Regular team events and offsites (~4x / year)
</li>
<li>
Unlimited paid time off
</li>
<li>
Paid parental leave 
</li>
</ul>
Want to learn more about Quilter, our vision, and our investors? Visit our <a href="http://quilter.ai/about" rel="nofollow ugc noopener" target="_blank">About</a> page and visit our <a href="https://quilter.ai/blog" rel="nofollow ugc noopener" target="_blank">Blog</a>.

Senior ML Engineer

<a href="https://jobicy.com/company/revenuecat" target="_blank" rel="noopener">RevenueCat</a> removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in &gt;40% of newly shipped subscription apps, we process $12B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.
We’re a remote‑first crew of 150+, spread across 25+ countries, and guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in.
<h3>The role</h3>
We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive.
This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward.
You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet.
You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data.
Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.
<h3>What you will do</h3>
<ul>
<li>
Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
</li>
<li>
Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations.
</li>
<li>
Partner with Product Managers to shape roadmaps, not just execute on them.
</li>
<li>
Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.
</li>
<li>
Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
</li>
<li>
Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact.
</li>
<li>
Continuously iterate on shipped models and features based on real-world usage and feedback.
</li>
</ul>
This role has real ownership. You will not just support decisions, you will help drive them.
<h3>About you</h3>
You are a Senior Data Scientist who cares deeply about impact and product outcomes.
From a skills perspective, you bring:
<ul>
<li>
5+ years of experience working as a Data Scientist.
</li>
<li>
Strong SQL skills and comfort with data modeling.
</li>
<li>
Experience building and deploying predictive and descriptive models in production.
</li>
<li>
Experience writing or collaborating on production-ready Python code.
</li>
<li>
A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
</li>
<li>
The ability to clearly explain complex ideas and results to broad audiences.
</li>
</ul>
You recognize yourself in several of these:
<ul>
<li>
You are highly proactive and opinionated, and you are comfortable pushing ideas forward.
</li>
<li>
You enjoy working with messy, real-world data and imperfect information.
</li>
<li>
You care more about creating customer value than academic elegance.
</li>
<li>
You are comfortable operating in ambiguity and building structure where none exists.
</li>
<li>
You enjoy working closely with Product teams and influencing decisions.
</li>
<li>
You are excited by the consumer subscription ecosystem and curious about how developers make money.
</li>
</ul>
<h3>What success looks like</h3>
<h3>In the first month, you'll:</h3>
<ul>
<li>
Understand our data models.
</li>
<li>
Get to know the team.
</li>
<li>
Ramp up on the ongoing data feature work.
</li>
<li>
Implement and ship your first project.
</li>
</ul>
<h3>Within the first 3 months, you'll:</h3>
<ul>
<li>
Meaningfully contribute to shipping a data feature to thousands of developers.
</li>
<li>
Learn the basics of incident response, and be part of the on-call rotation.
</li>
<li>
Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features.
</li>
<li>
Launch your own explorations into our data to fulfill your own curiosity.
</li>
</ul>
<h3>Within the first 6 months, you'll:</h3>
<ul>
<li>
Own one or more core data-powered features end to end.
</li>
<li>
Influence the data feature roadmap with clear, data-backed proposals.
</li>
<li>
Be a go-to partner for product teams on data-driven decision making.
</li>
</ul>
<h3>Within the first 12 months, you'll:</h3>
<ul>
<li>
Propose and lead entirely new data-driven product initiatives.
</li>
<li>
Push the boundaries of how RevenueCat uses data to help developers grow revenue.
</li>
<li>
Help shape how data science operates at RevenueCat as the function grows.
</li>
</ul>
<h3>What we offer:</h3>
<ul>
<li>
Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
</li>
<li>
10-year window to exercise vested equity options
</li>
<li>
Fully remote and flexible work environment
</li>
<li>
4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
</li>
<li>
$2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning
</li>
</ul>
Curious about the interview process? Discover more in <a href="https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/" rel="nofollow ugc noopener" target="_blank">our blog post</a> about how we hire and learn tips to help you succeed.

Senior Data Scientist, Product

<div class="content-intro"><div class="c-message_kit__blocks c-message_kit__blocks--rich_text">
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<div class="p-rich_text_section">Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a class="c-link" href="http://www.redditinc.com/" target="_blank" data-stringify-link="http://redditinc.com" data-sk="tooltip_parent">www.redditinc.com</a>.</div>
</div>
</div>
</div>
</div>
</div></div>Reddit has a flexible first workforce!
We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.
The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply.&nbsp;This position will sit on the App Ads Modeling team and report directly into the Ranking Org.
Responsibilities:
<ul>
<li>Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking</li>
<li>Develop and optimize features including embeddings, contextual signals, and cross-session behavior</li>
<li>Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis</li>
<li>Mentor other MLEs and contribute to modeling best practices across the org</li>
<li>Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)</li>
</ul>
Required Qualifications:
<ul>
<li>7+ years of industry experience, including several years in applied ML roles</li>
<li>Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)</li>
<li>Strong background in recommendation systems, ads ranking, or similar domains</li>
<li>Experience working with large-scale datasets and complex feature pipelines</li>
<li>Strong problem-solving and experimentation skills</li>
<li>State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)</li>
<li>Knowledge about Recsys or Ads funnel</li>
<li>Track record of delivering high-impact models in production settings</li>
<li>Comfort collaborating with infra and data teams on feature serving and training pipelines</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with conversion modeling, app ads, or performance/brand ads</li>
<li>Experience in ads marketplaces at peer companies</li>
<li>Publications, patents, or industry contributions in applied ML or ranking systems</li>
</ul>
Benefits:
<ul>
<li>100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)</li>
<li>Comprehensive Healthcare Benefits and Income Replacement Programs</li>
<li>401k with Employer Match</li>
<li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li>
<li>Family Planning Support</li>
<li>Gender-Affirming Care</li>
<li>Mental Health &amp; Coaching Benefits</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave&nbsp;</li>
</ul>
&nbsp;
#LI-AJ1
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&nbsp;<div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href="https://www.redditinc.com/careers/" target="_blank">https://www.redditinc.com/careers/</a>.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</div><div class="title">The base salary range for this position is:</div><div class="pay-range">$230,000&mdash;$322,000 USD</div></div></div><div class="content-conclusion">In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.&nbsp; We will not sell your personal information or disclose it to any third party for their marketing purposes.&nbsp; We will delete any recording of your interview promptly after making a hiring decision.&nbsp; For more information about how we will handle your personal information, including our retention of it, please refer to our <a href="https://redditinc.com/policies/candidate-privacy-policy">Candidate Privacy Policy for Potential Employees and Contractors</a>.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.&nbsp; Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</div>

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