Company DescriptionEdedge Learning is a ground-breaking organization dedicated to nurturing the potential of our youth and empowering them to explore the vast world of technology and other high-growth fields. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished leaders, who will share not only their successes but also their journeys through failure. Despite our accomplishments, we remain dedicated to continuous growth, as our ultimate goal is to advance collectively as an organization and as a community. We elevate the industry of Ed-Tech by bringing in the training in the specific fields along with the industry experience. Visit Our Website to know about us : www.ededgelearning.com Role DescriptionThis is a remote internship role for a Data Analytics Internship &amp; Training Program. The role will involve day-to-day tasks related to data analytics, including data management, data analysis, data modelling, and developing analytical skills. The intern will have the opportunity to work on real-world data projects and gain practical experience in the field of data analytics. Responsibilities<ul><li>Work closely with our esteemed data science team to gather, refine, and analyse extensive datasets, refining skills in data pre-processing and visualization.</li><li>Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures.</li><li>Utilize Python programming for Exploratory Data Analysis (EDA) in practical business contexts, with a focus on risk analytics in banking and finance.</li><li>Acquire and apply advanced analytical techniques using tools like Tableau.</li><li>Create reports and presentations to effectively convey data analysis methodologies and findings.</li></ul> Qualifications<ul><li>Strong problem-solving and critical thinking abilities</li><li>Currently pursuing any degree showcasing a strong commitment to continuous learning and professional growth.</li><li>Excellent communication and teamwork skills</li><li>Ability to work independently and remotely</li></ul> Location: Remote Note : This is an unpaid internship. Upon application, our team will contact you to proceed with the application details and joining process.

Data Analyst Intern

About the CompanyWe welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background. About the Role<ul><li>Role: Data Platform Analyst</li><li>Location: Home-based</li><li>Working Arrangement: Fully remote, with very occasional travel</li><li>Salary: &#xA3;32,500 per annum</li></ul> Do you enjoy working with data, solving problems and making sure information is accurate, reliable and useful? We&#x2019;re looking for a Data Platform Analyst to join an established team and help support the day-to-day running and continued improvement of a cloud-based data platform. Responsibilities<ul><li>You&#x2019;ll work across a range of systems, helping to make sure data moves accurately between CRM platforms, payment systems and the wider data environment.</li><li>You&#x2019;ll also have the opportunity to work on data extracts, reporting and analysis that support teams across the organisation.</li><li>A big part of the role will involve using SQL, Python and Snowflake to produce datasets and analytical outputs, as well as maintaining data mappings, transformations and integrations between different business systems.</li><li>You&#x2019;ll investigate and resolve data quality, reconciliation and integration issues, working with both technical teams and business stakeholders to understand what has gone wrong and put the right fix in place.</li><li>You&#x2019;ll also support KPI reporting, dashboards and complex data selections, including segmentation and audience analysis.</li><li>There will be plenty of scope to improve existing processes too, particularly through automation and scripting to reduce manual work.</li><li>Alongside the technical side, you&#x2019;ll help maintain documentation, process maps and procedures, while supporting good data governance and making sure information is handled in line with organisational policies and GDPR requirements.</li><li>If you&#x2019;re looking for a role where you can use your data skills across a varied environment and have a genuine impact on how data is managed and used, please apply now or get in touch to find out more.</li></ul> Required Skills<ul><li>You&#x2019;ll need experience working with Python and SQL, alongside an understanding of data integration, mapping and transformation.</li><li>Experience with cloud-based data platforms such as Snowflake, CRM systems and troubleshooting data quality or integration issues would be particularly useful.</li><li>This would suit someone who enjoys getting into the detail of data but can also explain technical information clearly to people who aren&#x2019;t technical.</li><li>Attention to detail, good organisation and the ability to manage deadlines are important.</li></ul> Pay range and compensation package<ul><li>Salary: &#xA3;32,500 per annum</li></ul> Equal Opportunity StatementWe welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

Data Platform Analyst

** This is a remote contract position that goes through April 30th, 2027 with potential to extend. ** Our client is seeking a Marketing Analytics &amp; Insights Analyst to help build a predictable, efficient, and scalable growth engine. This role is responsible for transforming marketing data into actionable insights that drive smarter decisions across demand generation, pipeline performance, segmentation, customer engagement, and marketing investment.As a key partner to marketing leadership, you will own complex analytical initiatives end-to-end, design scalable measurement frameworks, and deliver insights that improve marketing performance and business outcomes. Success in this role requires a blend of analytical rigor, business acumen, and storytelling skills, with the ability to translate complex data into clear recommendations that influence strategy and execution.Our team fosters a culture of curiosity, continuous learning, collaboration, and accountability. We invest in developing our people and empowering marketers with the insights, tools, and knowledge needed to accelerate business growth.<h3>Expectations &amp; Tasks</h3><ul>
<li>Collaborate with marketing stakeholders to business objectives, define measurement strategies, and translate requirements into scalable analytics solutions.</li>
<li>Identify progress or gaps to monthly, quarterly goals and annual goals, proactively identifying risks, opportunities, and key drivers impacting performance.</li>
<li>Design, develop, and continuously enhance reporting frameworks, dashboards, and analytical models to support growth planning, forecasting, funnel optimization, and pipeline management.</li>
<li>Lead cross-channel performance analysis and attribution initiatives to evaluate marketing effectiveness, optimize investment decisions, and improve ROI.</li>
<li>Generate actionable insights and recommendations that improve customer engagement, buying experiences, conversion rates, and channel efficiency.</li>
<li>Translate complex analyses into compelling executive-ready narratives through effective data visualization, reporting, and storytelling.</li>
<li>Establish and maintain KPI definitions, measurement standards, and documentation to ensure consistency and trust in reporting.</li>
<li>Partner with Marketing Intelligence, Strategy, Technology, and Automation teams to improve data quality, segmentation, reporting capabilities, and measurement methodologies.</li>
<li>Influence business decisions through regular engagement with regional and global marketing leaders, including participation in business reviews and planning processes.</li>
<li>Gather stakeholder feedback, identify gaps or opportunities, and recommend solutions that improve operational effectiveness and business outcomes.</li>
<li>Support alignment and enablement across global and regional marketing teams to drive consistency in reporting and analytics practices.</li>
</ul><h3>Requirements</h3><ul>
<li>Bachelor's degree and 8-10 years of experience in marketing analytics, business intelligence, marketing operations, or a related field.</li>
<li>Ability to think in the abstract and understand the intricacies of a complex system and proficiently demonstrate ability to work with multiple and large datasets. </li>
<li>Advanced proficiency in SQL, Excel, Tableau, SAP Analytics Cloud, or similar business intelligence and analytics platforms.</li>
<li>Experience developing predictive, forecasting, optimization, or propensity models to support marketing and business growth objectives.</li>
<li>Strong understanding of marketing performance measurement, demand generation, pipeline management, attribution methodologies, and funnel analytics.</li>
<li>Deep familiarity with CRM and marketing data structures, including leads, contacts, accounts, opportunities, and campaign data.</li>
<li>Experience leveraging AI-enabled analytics capabilities to enhance reporting, insight generation, and decision-making while ensuring responsible and effective use.</li>
<li>Exceptional communication and storytelling skills, with the ability to simplify complex concepts for both technical and non-technical audiences. Executive presentation experience preferred.</li>
<li>Demonstrated success influencing stakeholders and driving alignment across cross-functional teams.</li>
<li>Strong project management and prioritization skills, with the ability to manage multiple initiatives and deliver results in a fast-paced environment.</li>
<li>Naturally curious, proactive, and committed to staying current on emerging analytics technologies, marketing trends, and industry best practices.</li>
<li>Proven ownership mindset with a strong bias toward action, continuous improvement, and measurable business impact.</li>
<li>Flexibility to collaborate across global teams and time zones, including engagement with colleagues in the EMEA and APJ regions.</li>
</ul><h3>Benefits</h3>Compensation Range: $40-42/hr** This pay range is Client-specific for the opening advertised. The identity of the Client will be disclosed if you are selected to move forward in the hiring process. **<h3>Benefits:</h3><ul>
<li>Employer contributions toward the cost of employee-only medical and dental premiums</li>
<li>Vision - opt-in available</li>
<li>401k</li>
<li>PTO</li>
<li>Life Insurance, Disability Insurance, AD&amp;D coverage</li>
<li>Short-term Disability, Accident, Cancer/Critical Illness, Pet insurance - opt in available</li>
</ul>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Marketing Analytics & Insights Analyst

Allow us to introduce ourselves Hello there! We&#x2019;re Appinio, a global market research company that combines an AI-powered insights platform with expert consultancy. On a mission to make the world a little more fact-based, we help companies understand how consumers think and make smarter decisions. We started out in Hamburg back in 2014, but we&#x2019;re now humbled to call the world our playground, with over 260 employees spread across 13 countries (we&#x2019;re remote-first), 2600+ international clients, delivering research from +190 markets, globally. Want to be a part of the Appinio movement? &#x1F680; Here at Appinio, we value transparency in our recruitment process, and we&apos;ve created a blog to share what to expect during each step of our journey together: here Your mission as a (Senior) Research Consultant We are looking for a (Senior) Research Consultant (m/f/d) with a strong quantitative market research background to join our newly dedicated B2B research team in the DACH region. This specialized unit focuses on research projects that specifically survey B2B target groups, professional decision-makers, and niche business audiences (rather than only standard B2C consumer panels). You will work closely with leading global strategy and management consultancies as well as major international corporates, supporting high-stakes projects where research needs to be delivered quickly, precisely, and with a clear focus on the business question. What you&#x2019;ll be doing <ul><li>End-to-End B2B Project Lead: Manage quantitative research projects end-to-end, including B2B screening design, questionnaire drafting, platform setup, fieldwork monitoring, and data delivery.</li><li>Methodology &amp; Study Design: Optimise bespoke study designs across core use cases (e.g., Target Group Analysis, U&amp;A, Pricing studies, Concept Testing) mainly tailored to hard-to-reach professional audiences.</li><li>Senior Client Sparring &amp; Advisory: Act as a trusted research partner to leading global consulting firms and major corporate clients. Work directly with experienced consultants and senior stakeholders to translate business questions into robust research approaches, advise on sample feasibility and survey methodology, and make pragmatic decisions when timelines are tight.</li><li>Commercial &amp; Scoping Collaboration: Partner closely with Sales and Account Management on project scoping, feasibility checks, and methodology definition for complex project requests.</li><li>Process &amp; Quality Enhancement: Contribute to standardizing B2B screening protocols, sampling frameworks, and best practices to coach other researcher and safeguard delivery speed and research quality across the team. </li></ul>You will thrive in this role if <ul><li>You have 5+ years of experience in quantitative market research with a distinct focus on surveying B2B target groups and professional decision-makers (agency or consulting background required; pure academic or non-client backgrounds will not fit this role).</li><li>You have hands-on experience designing studies, writing questionnaires, and executing quantitative projects across core B2B use cases (e.g., U&amp;A, Pricing studies, Concept Testing, Target Group Analysis).</li><li>You bring proven experience creating executive-ready reports and presenting complex data through clear, compelling storytelling to senior client-side stakeholders.</li><li>You possess a strategic, commercially minded approach with the self-confidence to guide clients and defend research decisions under pressure.</li><li>You excel in high-velocity environments, with a demonstrated ability to juggle multiple concurrent projects, prioritize effectively, and stay calm under tight deadlines.</li><li>You are proficient in German (C2 level required) and English, with outstanding written and verbal communication skills.</li><li>You bring a pragmatic, proactive, and resilient mindset with a passion for data quality and innovation. </li></ul>What&#x2019;s in it for you? <ul><li>Flexibility Policy - Our flexibility policy means there is no hard cap on the number of vacation days you can take</li><li>Temporary work from abroad - If you&apos;re based in the EU, you can work outside your country of residence for up to 180 days per year</li><li>All the hardware you need and your own MacBook</li><li>If you are located in Hamburg or Berlin, you&apos;ll get a Deutschland ticket or access to a mobility budget with the NAVIT app to get you to and from the office space</li><li>Subsidised Urban Sports Club or ClassPass membership based on location</li><li>In case you&#x2019;re located in one of the cities where most of our fellow Appinioneers are (Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York), you can get access to our Co-working spaces </li></ul>Kind reminder: Please ensure that your application is submitted in English. This post not only outlines our ideal candidate but also serves as an inspiration for what this role can evolve into. Even if you consider yourself an 80% fit but have a genuine passion for this position, we encourage you to apply. We&apos;re eager to hear from individuals who share our enthusiasm. Appinio is an equal-opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Please read our privacy policy here. Learn more about us: appinio.com LinkedIn Xing Kununu Instagram

(Senior) B2B Insights Consultant DACH (m/f/d)

Europe Portugal LE_0155-Grohe Portugal Componentes Sanitarios Lda. Employee Assignment Fully remote possible Full Time 21 September 2026 Location: Portugal or Poland (Remote) Department: Marketing / Integrated Communications We are looking for an Activation Performance &amp; Tracking Manager to join our European Marketing team and play a key role in shaping how we measure, analyse, and optimise digital performance across multiple markets. If you thrive in data&#x2011;driven environments, enjoy translating insights into meaningful action, and want to contribute to high&#x2011;impact marketing initiatives across Europe, this role offers an exciting opportunity. About The Role As the Activation Performance &amp; Tracking Manager, you will be responsible for developing and maintaining the tracking frameworks that underpin our digital activation and website performance strategy. You will work closely with internal stakeholders, external agencies, and cross&#x2011;functional teams to ensure our campaigns and digital touchpoints are measured effectively and continuously improved. This is a remote role with occasional travel to our headquarters in Germany for key meetings. What You Will Do <ul><li>Analyse campaign and media performance across European markets</li><li>Track and monitor all activity on the GROHE website</li><li>Build autonomous tracking and reporting structures</li><li>Work with big&#x2011;data dashboards and tools such as Google Analytics and Looker Studio</li><li>Prepare clear, actionable reports and insights for marketing leaders</li><li>Collaborate with UX/UI teams to support optimisation initiatives</li><li>Plan, execute, and track advertising and activation campaigns</li><li>Challenge and steer external agencies to ensure high&#x2011;quality tracking and continuous optimisation</li><li>Conduct activation potential analyses and identify new opportunities</li><li>Support local market teams with training and guidance on tracking, dashboards, and analytics</li><li>Prepare presentations and performance insights for internal stakeholders</li><li>Contribute to data&#x2011;driven decision&#x2011;making across the marketing organisation </li></ul>What You Bring <ul><li>University degree in business administration, marketing, IT, or a related field</li><li>Early professional experience in digital or performance marketing</li><li>Strong understanding of business KPIs and the ability to simplify complex data</li><li>Hands&#x2011;on, solution&#x2011;oriented mindset with strong communication skills</li><li>High proficiency in Google Workspace (especially Sheets and Slides)</li><li>Experience with Google Analytics, Looker Studio (formerly Data Studio), Tableau, or similar tools</li><li>Fluency in English; German is an advantage but not required</li><li>Agile, structured working style with a willingness to learn and collaborate </li></ul>Who You Are <ul><li>Flexible and adaptable in a fast&#x2011;moving environment</li><li>Curious, open&#x2011;minded, and eager to explore new ideas</li><li>Comfortable working with diverse stakeholders across multiple countries</li><li>Able to navigate complex digital ecosystems and translate insights into clear recommendations </li></ul>Why Join Us <ul><li>Opportunity to work in a multinational environment with high visibility across the organisation</li><li>Be part of a major digital transformation project, including the relaunch of our website structure across 30 markets</li><li>Collaborate with a supportive, experienced marketing team and external partners</li><li>Contribute directly to shaping the future of our digital activation and performance strategy</li></ul>

Activation Performance & Tracking Manager

Data Analysts, Data Quality &amp; Business Data Review Specialists. Remote AI Project We are seeking experienced Data Analysts, Business Data Analysts, Data Quality Specialists, Data Reviewers, and Data Governance Professionals to support a high-impact AI training project focused on large-scale business data. You will review, analyze, validate, and quality-check datasets and documents while ensuring strict adherence to privacy, security, and personally identifiable information (PII) requirements. What You&#x2019;ll Do <ul><li>Review and analyze large business datasets</li><li>Validate data for accuracy, completeness, consistency, and relevance</li><li>Identify missing values, duplicate records, anomalies, and incorrect data</li><li>Review documents containing structured and unstructured business information</li><li>Apply strict data privacy and PII-handling requirements</li><li>Identify and flag sensitive or personally identifiable information</li><li>Perform data validation and quality assurance checks</li><li>Investigate data inconsistencies and determine likely root causes</li><li>Document data-quality issues clearly</li><li>Provide recommendations to improve data accuracy and integrity</li><li>Apply project-specific quality standards and review guidelines</li><li>Contribute to the improvement of QA processes, checklists, and evaluation criteria</li><li>Communicate findings clearly to project stakeholders</li><li>Maintain compliance with privacy, security, and data-handling requirements</li><li>Work independently in a remote, distributed project environment</li></ul> Who Can Apply Relevant backgrounds include: Data Analysts, Senior Data Analysts, Business Data Analysts, Business Analysts, Data Quality Analysts, Data Quality Specialists, Data Review Analysts, Data Validation Analysts, Data Integrity Analysts, Data Operations Analysts, and Data Management Analysts. We also welcome: Quality Analysts, Quality Assurance Analysts, QA Analysts, Data QA Specialists, Data Auditors, Data Reviewers, Quality Reviewers, Quality Control Analysts, QC Analysts, and Data Accuracy Specialists. Data governance and privacy backgrounds may include: Data Governance Analysts, Data Governance Specialists, Data Privacy Analysts, Privacy Operations Specialists, Information Governance Analysts, Data Compliance Analysts, Data Stewardship Professionals, Data Stewards, and Information Management Specialists. Business and operations backgrounds may include: Operations Analysts, Business Operations Analysts, Process Analysts, Reporting Analysts, Research Analysts, Risk Analysts, Compliance Analysts, Audit Analysts, and Business Intelligence Analysts with strong data-review experience. Document-review backgrounds may include: Document Review Specialists, Document Analysts, Records Analysts, Information Management Specialists, Documentation Specialists, Compliance Reviewers, Audit Reviewers, and Quality Assurance Reviewers. AI and evaluation backgrounds may include: AI Data Analysts, AI Evaluators, Data Annotators, Data Labelers, Human Feedback Specialists, Model Evaluators, AI Quality Analysts, Annotation Quality Specialists, and Rubric Evaluators. Relevant Data Analysis Experience Strong candidates may have experience with: <ul><li>Data cleaning</li><li>Data validation</li><li>Data reconciliation</li><li>Data profiling</li><li>Data auditing</li><li>Data quality assessment</li><li>Data integrity checks</li><li>Duplicate detection</li><li>Missing data analysis</li><li>Outlier detection</li><li>Anomaly detection</li><li>Data standardization</li><li>Data normalization</li><li>Data matching</li><li>Record linkage</li><li>Data enrichment</li><li>Data transformation</li><li>Data verification</li><li>Data classification</li><li>Data annotation</li><li>Data review</li><li>Dataset documentation</li><li>Quality-control workflows</li></ul> Requirements <ul><li>Professional experience in data analysis, data quality, document review, business analytics, data governance, QA, audit, or a closely related field</li><li>Demonstrated ability to work with large business datasets</li><li>Experience identifying data errors and inconsistencies</li><li>Strong attention to detail</li><li>Ability to review sensitive information carefully</li><li>Understanding of data privacy and PII-handling principles</li><li>Strong analytical and problem-solving skills</li><li>Ability to clearly document findings and recommendations</li><li>Strong written and verbal communication</li><li>Ability to follow detailed quality and privacy guidelines</li><li>Comfortable working independently in a remote environment</li><li>Consistent and reliable delivery of high-quality work</li></ul> Preferred Background <ul><li>Experience working with personally identifiable information</li><li>Experience with sensitive or confidential business data</li><li>Experience conducting data audits</li><li>Experience with document review</li><li>Experience in data quality assurance</li><li>Experience with privacy compliance or data governance</li><li>Experience building or applying data-quality standards</li><li>Experience reviewing work produced by other analysts</li><li>Experience using Excel, SQL, Python, Tableau, or Power BI</li><li>Experience with CRM, finance, operations, or customer datasets</li><li>Experience creating SOPs, checklists, or QA processes</li></ul> This opportunity is ideal for professionals who can look at a large dataset or collection of documents and quickly identify what is missing, inconsistent, inaccurate, sensitive, or potentially risky, then document the issue clearly and help improve overall data quality. We are a referral partner of the client.

Data Analyst | €45/hr | Remote

Europe Portugal LE_0155-Grohe Portugal Componentes Sanitarios Lda. Employee Assignment Fully remote possible Full Time 16 November 2026 A high&#x2011;visibility role supporting global Operations across the Americas, Asia and Europe. You will act as an extension of the headquarters controlling team, strengthening financial transparency, accuracy and cost optimisation across a complex, international matrix organisation. About The Role This position consolidates, analyses and reports financial and operational data for the global Fittings &amp; Fixtures Operations division. You will collaborate closely with Procurement, R&amp;D and FP&amp;A, ensuring reliable month&#x2011;end execution, accurate forecasting inputs and strong data foundations for strategic decision&#x2011;making. The environment is international, transparent and improvement&#x2011;driven, with teams across Germany, the US, Mexico, China and Europe. Key Responsibilities <ul><li>Data Consolidation &#x2014; Prepare and maintain monthly reporting packages for global Operations.</li><li>Procurement Analysis &#x2014; Track raw material, component and finished goods prices; monitor procurement savings pipeline.</li><li>Month&#x2011;End Close &#x2014; Create accruals and deferrals, calculate FX impacts, perform analyses and prepare management slides.</li><li>Freight &amp; Cost Review &#x2014; Analyse inbound and inter&#x2011;unit freight variances and identify optimisation opportunities.</li><li>Forecasting &amp; Budgeting &#x2014; Collect and align financial inputs from plants, procurement and central functions.</li><li>Standard Costing &#x2014; Support annual standard cost&#x2011;setting and maintain master data and system parameters.</li><li>System Support &#x2014; Assist with rollout and maintenance of automated reporting systems.</li><li>Cross&#x2011;Border Collaboration &#x2014; Work as an extended arm of HQ, ensuring transparent and efficient workflows. </li></ul>Skills &amp; Experience <ul><li>Bachelor&#x2019;s degree in Finance, Controlling or Business Administration</li><li>1&#x2013;3 years of controlling experience (operations, plant, business or financial controlling)</li><li>Strong command of Excel / Google Sheets</li><li>Solid understanding of budgeting, forecasting, cost control and accounting principles</li><li>Experience with SAP (MM/FI) and BI tools (SAP BW, IBM Planning Analytics) is an advantage</li><li>Highly organised, detail&#x2011;oriented and able to work independently</li><li>Strong teamwork orientation and intercultural competence</li><li>Fluent English (written and spoken) </li></ul>Working Environment <ul><li>Remote role based in Portugal</li><li>Travel to Germany 3&#x2013;4 times per year</li><li>International team across multiple time zones</li><li>Culture focused on transparency, partnership, and continuous improvement</li><li>Broad exposure to Procurement, R&amp;D and FP&amp;A</li><li>Strong development potential within a global organisation </li></ul>Why This Role Stands Out <ul><li>Broad visibility across a large matrix organisation</li><li>Opportunity to influence financial and operational decisions</li><li>Collaborative, long&#x2011;tenured teams with excellent team spirit</li><li>Flexible working approach</li><li>Meaningful involvement in global data, systems and process optimisation</li></ul>

Operations Controller

<a href="https://jobicy.com/company/reddit" target="_blank" rel="noopener">Reddit</a> 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 href="http://www.redditinc.com/" rel="nofollow ugc noopener" target="_blank">www.redditinc.com</a>.
Location: Reddit has a flexible first workforce. Don't live near our office? No worries: you can work remotely from anywhere in the UK or the Netherlands.
The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. 
Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas:
<ul>
<li>Multimodal &amp; Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. </li>
<li>Contextual and Behavioral Relevance - Working with Product &amp; Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance.</li>
<li>Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting &amp; business insights. </li>
<li>User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch &amp; real-time sequence modeling, LLM summarization, etc. </li>
<li>LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes</li>
</ul>
The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization.
As a Staff ML Engineer, you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. 
Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy &amp; designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis &amp; engineering, modeling &amp; automation). 
Responsibilities
<ul>
<li>Providing technical leadership and mentorship to MLEs in the team: driving designs &amp; their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. </li>
<li>Working closely with team/org leadership developing technical strategy for content-based embeddings &amp; relevance for Ads.</li>
<li>Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. </li>
<li>Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. </li>
<li>Building data processing and inference pipelines for the models we develop. </li>
<li>Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. </li>
<li>Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.</li>
<li>Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.</li>
<li>Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.</li>
</ul>
Required Qualifications:
<ul>
<li>7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.</li>
<li>Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. </li>
<li>Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. </li>
<li>Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. </li>
<li>Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. </li>
<li>Familiarity with the Ads domain and/or Search/Recommender systems.</li>
<li>Experience with mainstream DL frameworks: PyTorch or TensorFlow.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)</li>
<li>Tech leadership experience: mentoring junior engineers and leading complex projects. </li>
<li>Hands-on experience with using/fine-tuning/building LLMs.</li>
</ul>
Benefits:
<ul>
<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>Private Pension plan with Employer-matching</li>
<li>100% employer-sponsored group medical plan </li>
<li>Income Replacement Programs</li>
<li>Flexible Vacation &amp; Paid Volunteer Time Off</li>
<li>Generous Paid Parental Leave</li>
</ul>
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. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. 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" rel="nofollow ugc noopener" target="_blank">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. 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.

Staff Machine Learning Engineer, Ads Foundational Representations

Associate Research Scientist - RWE
Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our Real-World Evidence team is hiring an Associate Research Scientist to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.
This is a fully remote position.
About You:
<ul>
<li>You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports.</li>
<li>You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction.</li>
<li>You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution.</li>
</ul>
About The Role:
As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally.
Required Experience:
<ul>
<li>Master’s degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health</li>
<li>Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS</li>
<li>0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs</li>
<li>Ability to work effectively individually and as part of a diverse team</li>
</ul>
Helpful Experience:
<ul>
<li>Strong organizational skills, including the ability to meet deadlines and balance competing demands</li>
<li>Willingness and desire to learn and share knowledge</li>
<li>Excellent oral and written communication skills</li>
</ul>
#LI-Remote

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.
Reasonable estimate of the current range
$66,000—$94,000 USD
<hr>
Any data provided as a part of this application will be stored in accordance with our <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.precisionmedicinegrp.com%2Fprivacy-policy%2F&amp;data=05%7C01%7Czeta.larcon%40precisionmedicinegrp.com%7Cb58fe8b0c3ea4dd2e79d08db5bd09a25%7Cb71ff3f628164ca8a9b938f820f91ad1%7C0%7C0%7C638204723732367131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=9DgboiHTFPrNYVhdKhyfdwVyNYwUvZbP%2FroLdWIIfxw%3D&amp;reserved=0" rel="nofollow ugc noopener" target="_blank">Privacy Policy.</a> For CA applicants, please also refer to our <a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.precisionmedicinegrp.com%2Fca-applicants-privacy-notice%2F&amp;data=05%7C01%7Czeta.larcon%40precisionmedicinegrp.com%7Cb58fe8b0c3ea4dd2e79d08db5bd09a25%7Cb71ff3f628164ca8a9b938f820f91ad1%7C0%7C0%7C638204723732367131%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=tfAqqMZsG%2B11IchL45HFFVbfECCkYqQpNr0PQxrMFJU%3D&amp;reserved=0" rel="nofollow ugc noopener" target="_blank">CA Privacy Notice</a>.
<a href="https://jobicy.com/company/precision-medicine-group" target="_blank" rel="noopener">Precision Medicine Group</a> is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at <a href="mailto:myHR@precisionmedicinegrp.com" rel="nofollow ugc noopener" target="_blank">myHR@precisionmedicinegrp.com</a>.
Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at <a href="mailto:myHR@precisionmedicinegrp.com" rel="nofollow ugc noopener" target="_blank">myHR@precisionmedicinegrp.com</a> so we can investigate and take appropriate action.

Associate Research Scientist, Real World Evidence

<h3>About the job</h3><a href="https://himalayas.app/companies/nmi">NMI</a> is a leading provider of payment gateway solutions, specializing in card-present solutions and payment processing. Our innovative technologies empower businesses to securely accept payments and optimize transaction processes. With a focus on reliability, security, and innovation, we continuously push the boundaries of what's possible in the payments industry.The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision-making. Reporting into the Revenue Operations organization, this role combines hands-on SQL and data modeling with predictive segmentation, opportunity analysis, and dashboard development — and serves as a trusted reporting partner to teams across the business. You will work primarily within Revenue Operations while collaborating cross-functionally with Sales, Business and Technical Operations, Sales Enablement, Support, and Finance to get things done.<h3>The Ideal Candidate</h3>You bring strong analytical thinking, intellectual curiosity, and a commitment to accuracy. You enjoy connecting information across disparate systems, identifying meaningful patterns, and delivering insights that influence business decisions. The opportunity to build and own these capabilities during your first year is something you find energizing:<ul>
<li>Build and maintain the core revenue and customer-lifecycle reporting that gives sales and revenue leadership clear visibility into performance, trends, and health of the business</li>
<li>Develop and operationalize segmentation and predictive models in BigQuery ML that shape go-to-market targeting and account prioritization</li>
<li>Lead the migration of dashboards from legacy datasets and BI tools into Tableau, with documented data lineage and custom measures</li>
<li>Establish data quality and reconciliation practices that resolve entities across source systems and distinguish net-new from existing customers</li>
<li>Partner with teams across the organization to translate ambiguous, evolving requests into concrete reporting deliverables</li>
</ul><h3>Key Responsibilities</h3><ul>
<li>Deliver ad-hoc and recurring analyses supporting Sales, Business and Technical Operations (Salesforce Admins), Revenue, Sales Enablement, Support, and other internal teams, with minimal supervision</li>
<li>Produce core revenue and customer-lifecycle reporting — including month-to-date, quarter-to-date, and trailing-twelve-month metrics — with validation logic that reconciles outputs against source-of-truth figures</li>
<li>Author complex SQL in BigQuery using multi-CTE pipelines, window functions, user-defined functions, and array aggregation, and build reusable views for data aggregation and downstream consumption</li>
<li>Build and refine segmentation and clustering models in BigQuery ML, including feature engineering, look-alike discovery, and cluster profiling, and operationalize model output into actionable deliverables for go-to-market teams</li>
<li>Size addressable-market and ideal-customer opportunities by identifying accounts whose profile fits specific products, and quantify whitespace and upsell potential to support Sales Enablement and account prioritization</li>
<li>Perform entity resolution across multiple source systems using fuzzy matching, normalization, and confidence scoring, reconciling records across platforms</li>
<li>Develop and maintain Tableau dashboards for key business metrics, and lead migration from legacy datasets and BI tools with documented data lineage, custom measures, and visual mappings</li>
<li>Maintain current knowledge of data sources and ongoing data warehouse developments, adapting models and reporting as schemas and requirements change</li>
<li>Translate ambiguous and evolving requests from a wide range of stakeholders into concrete reporting specifications</li>
<li>Contribute to a culture of data discipline, continuous improvement, and analytical excellence across the Revenue Operations organization</li>
</ul><h3>Skills &amp; Experience</h3><ul>
<li>2–5 years of experience in data analysis, revenue operations analytics, business intelligence, or a similar analytical role</li>
<li>Strong SQL proficiency, with hands-on experience in BigQuery; familiarity with BigQuery ML a significant plus</li>
<li>Demonstrated experience building and maintaining dashboards in Tableau or comparable data visualization tools</li>
<li>Experience with data modeling and designing reusable views for aggregation and consumption</li>
<li>Familiarity with entity resolution and data quality techniques, including fuzzy matching and cross-platform reconciliation</li>
<li>Strong analytical skills with the ability to surface trends, identify gaps, and translate data into clear recommendations</li>
<li>Experience working with CRM data (Salesforce preferred) and revenue/go-to-market datasets</li>
<li>The ability to move fluidly between structured recurring reporting and ambiguous ad-hoc requests without losing rigor on either</li>
<li>Strong written and verbal communication skills with the ability to partner effectively across technical and non-technical stakeholders</li>
<li>Independent work ethic and comfort operating in a fast-paced environment where priorities and reporting requirements can shift</li>
</ul><h4>As well as being a part of something exciting everyday, you will also receive the following benefits:</h4><ul>
<li>Competitive salary + bonus </li>
<li>A remote first culture!</li>
<li>Flex PTO </li>
<li>Health, Dental and Vision Insurance</li>
<li>13 Paid Holidays</li>
<li>Company volunteer days</li>
</ul><h4>What we do!</h4><a href="https://himalayas.app/companies/nmi">NMI</a> enables our partners with choice, and challenges the one-size-fits-all approach to payments. You've probably used <a href="https://himalayas.app/companies/nmi">NMI</a> in the last 24 hours without even realizing it. We’re the platform that powers success for innovative tech created by SMBs, entrepreneurs and fintech startups. We’re creative problem solvers who help visionaries smash through boundaries and think beyond what’s possible so they can think about what’s next. But we’re not just built for the tech savvy. We democratize the latest payments technology so that everyone can realize the benefits of easy payments across the full spectrum of commerce. We’re all about enabling more payments in more ways and more places.We believe that having a diverse group of employees strengthens both our work and our workplace. We’re focused on making <a href="https://himalayas.app/companies/nmi">NMI</a> more diverse and welcoming with initiatives like having a dedicated Diversity, Equity &amp; Inclusion action group, diversity goals for hiring, anonymized resume screening, affinity groups such as our Women's network and LGBTQ+ Network, open forums for discussions on diversity and social justice, and measuring inclusion and belonging as part of our regular employee engagement surveys.<h4>Equal Opportunity</h4><a href="https://himalayas.app/companies/nmi">NMI</a> is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, sexual orientation or sexual identity, genetic information, citizen status (except those that do not have the legal right to be employed in the United States), disability, military service, service member, veteran status, or any other basis protected by applicable law.Please be aware that all offers of employment are made subject to receipt of satisfactory background and financial checks.Attention job applicants: Please note that in compliance with the data protection regulations within your jurisdiction, any personal information submitted with your job application may be collected and used by <a href="https://himalayas.app/companies/nmi">NMI</a> for the purpose of recruitment and employment-related activities. By submitting your application, you acknowledge and provide explicit consent to the processing of your personal information as described in our privacy policy found on our website. For more information on how we process your information, please read our privacy policy here: <div class="content-pay-transparency"><div class="pay-input">
<div class="title">Salary range, depending on experience:</div>
<div class="pay-range">$65,000—$85,000 USD</div>
</div></div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Data Analyst, Revenue Operations

<a href="https://jobicy.com/company/tremendous" target="_blank" rel="noopener">Tremendous</a> is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We're trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide.
Our customers (researchers, marketers, HR teams, nonprofits, and platform businesses) rave about how fast and easy Tremendous is to use. <a href="https://www.g2.com/products/tremendous/reviews" rel="nofollow ugc noopener" target="_blank">Check out our ratings on G2</a>.
Tremendous is profitable and growing without outside investors. We're a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life. The team agrees– our employee NPS is in the high 80s.

About the role
We are hiring an experienced data analyst to partner with our internal stakeholders and help build the foundations that make AI-powered data access reliable.
You will support multiple business areas (including Product, Finance, and Customer Success) and contribute significantly to the semantic layer and our data model.
Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will be an integral part of the data team and collaborate closely with company-wide stakeholders.

What you'll do
<ul>
<li>
Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.
</li>
<li>
Apply various analytics methods to gain insights into critical aspects of our business.
</li>
<li>
Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.
</li>
<li>
Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.
</li>
<li>
Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, and fostering new expertise.
</li>
<li>
Join a growing data team and actively contribute to team collaboration and culture.

</li>
</ul>
What you'll bring
<ul>
<li>
You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.
</li>
<li>
You are proficient with at least one visualization &amp; business intelligence platform (e.g., Sigma, Tableau, Looker, Mode).
</li>
<li>
Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.
</li>
<li>
You're comfortable working alongside AI tools and thinking critically about AI-generated output.
</li>
<li>
You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.
</li>
<li>
You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.
</li>
<li>
You use excellent judgment and sharp business and product instincts that allow you to prioritize.
</li>
</ul>
Bonus
<ul>
<li>
Experience working with a B2B software product.
</li>
<li>
Experience with dbt, Sigma, and Snowflake.
</li>
<li>
Experience in Python or R.

</li>
</ul>
What's cool about the role
<ul>
<li>
Competitive pay and equity. Base salary for this role: $175k to $225k.
</li>
<li>
Real benefits. 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.
</li>
<li>
Fully remote. Work from anywhere in the Americas.
</li>
<li>
Great culture. Read more about how we work in our <a href="https://handbook.tremendous.com/" rel="nofollow ugc noopener" target="_blank">public handbook</a>.
</li>
</ul>

Senior Data Analyst

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing.While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement.As a Growth Data Scientist at <a href="https://himalayas.app/companies/mercury">Mercury</a>, you will partner with Growth product, design, engineering and marketing leaders to shape how <a href="https://himalayas.app/companies/mercury">Mercury</a> acquires, activates and retains customers across business and personal banking*. This is a strategic, product-facing role: you’ll frame the “why” behind what we build, size opportunities, and turn the growth funnel into clear, prioritized recommendations. You will work as a full-stack Data Scientist on projects end to end and build deep domain expertise at the intersection of Data Science, Product and Growth. You will help set the direction for how Growth measures success and decides where to invest, in line with <a href="https://himalayas.app/companies/mercury">Mercury</a>’s broader product and company goals.<h3>Here are some things you’ll do on the job:</h3><ul>
<li>Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why.</li>
<li>Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the metrics, driver trees and narratives that show where we’re winning and where we’re not.</li>
<li>Size opportunities and help prioritize the Growth roadmap and annual planning, making clear recommendations even when data is incomplete.</li>
<li>Design, analyze and communicate experiments (A/B tests and quasi-experimental methods) that tell teams whether a change worked and what to do next.</li>
<li>Right-size your work to the decision: fast and directional when that’s what’s needed, rigorous when the stakes call for it.</li>
<li>Collaborate with other Data Scientists, Data Engineers and Analytics Engineers to build trusted, self-serve growth metrics.</li>
<li>Communicate findings and recommendations to audiences at all levels, including executives, with a clear point of view that improves entrepreneurs’ lives and generates revenue for <a href="https://himalayas.app/companies/mercury">Mercury</a>.</li>
</ul><h3>You should:</h3><ul>
<li>Have 6+ years of experience in data science, product analytics or growth analytics, including 3+ years partnering closely with product growth teams.</li>
<li>Have strong product sense and a track record of shaping product direction, not just measuring it, including times your work changed what a team built.</li>
<li>Have deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis.</li>
<li>Have fluency in SQL and a statistical programming language (e.g. Python, R).</li>
<li>Have experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar; familiarity with Snowflake and dbt is a plus.</li>
<li>Be comfortable with ambiguity and with respectfully disagreeing with senior stakeholders, backed by evidence.</li>
<li>Be a clear, concise communicator who leads with the point and tailors the message to technical and non-technical audiences.</li>
<li>Nice to have: experience in consumer or SMB fintech, or with mobile product analytics.</li>
</ul>* <a href="https://himalayas.app/companies/mercury">Mercury</a> is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.<a href="https://himalayas.app/companies/mercury">Mercury</a> values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at <a href="https://himalayas.app/companies/mercury">Mercury</a> are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.<div class="content-pay-transparency">
<div class="pay-input">
<div class="description">
Total Rewards The total rewards package at <a href="https://himalayas.app/companies/mercury">Mercury</a> includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
</div>
<div class="title">US employees (any location):</div>
<div class="pay-range">$200,700—$250,900 USD</div>
</div>
<div class="pay-input">
<div class="title">Canadian employees (any location):</div>
<div class="pay-range">$189,700—$237,100 CAD</div>
</div>
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Scientist - Growth

<div class="content-intro">Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</div><h2>Staff Machine Learning Engineer, CX Intelligence</h2>
<div>&nbsp;</div>
<div>CEE Intelligence (CEEI) is the ML and intelligence layer for Coinbase's customer engagement ecosystem, building customer intelligence, evaluation systems, routing and classification models, safety guardrails, and decisioning capabilities that power Help Center, chat, voice, agent tooling, and other customer support runtimes. As a Staff Machine Learning Engineer, you'll lead the design and delivery of production ML systems across the org, shaping technical strategy, building scalable intelligence capabilities, and partnering with product and engineering stakeholders to improve resolution quality, automation coverage, safety, and customer experience. What you'll do:</div>
<ul>
<li>Own the design and delivery of production ML systems, applying LLMs, deep learning, graph neural networks, and classical ML techniques to solve complex customer experience problems.</li>
<li>Partner with leadership and cross-functional stakeholders to define strategic roadmaps and translate vision into quarterly execution plans with measurable outcomes.</li>
<li>Lead high-impact ML projects end-to-end, from architecture through production, managing priorities, risks, and dependencies.</li>
<li>Build scalable, secure, and reliable ML systems, evaluation pipelines, and data workflows using high-quality, well-tested Python code.</li>
<li>Mentor engineers and establish team-wide standards for design, testing, observability, and operational excellence.</li>
<li>Drive design reviews covering security, responsible AI, model quality, and architectural integrity, improving reliability, scalability, and latency across the stack.</li>
</ul>
<div>Required Skills and Experience:</div>
<ul>
<li>8+ years of experience in machine learning and software engineering, with proven success building, scaling, and maintaining production ML systems, data platforms, or analytical services.</li>
<li>Hands-on expertise with one or more of LLMs, deep learning, graph neural networks, gradient-boosted trees, or regression, combined with strong knowledge of NLP, information retrieval, data mining, or advanced statistics.</li>
<li>Strong Python skills with demonstrated ability to write maintainable, highly tested production code for ML services.</li>
<li>Experience mentoring engineers and raising technical standards across a team or organization, including leading design reviews and influencing technical and non-technical stakeholders.</li>
<li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li>
</ul>
Job #: P77568<div class="content-pay-transparency"><div class="pay-input"><div class="description">Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;
&nbsp;</div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range">$218,025&mdash;$256,500 USD</div></div></div><div class="content-conclusion"><ul>
<li style="font-style: italic; font-size: 8pt;">Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li style="font-style: italic; font-size: 8pt;">Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li>
<li style="font-style: italic; font-size: 8pt;">US Applicants: View<a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf"> Employee Rights</a>,<a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf"> Know Your Rights</a>, and<a href="https://static-assets.coinbase.com/e-verify.pdf"> E-Verify</a> Notice of Participation.</li>
<li style="font-style: italic; font-size: 8pt;">Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&nbsp;Need screen reading technology?<a href="https://chromewebstore.google.com/detail/screen-reader/kgejglhpjiefppelpmljglcjbhoiplfn"> Click here</a> to download a free compatible screen reader and view the<a href="http://www.chromevox.com/tutorial/"> tutorial</a>.</li>
<li style="font-style: italic; font-size: 8pt;">Data Privacy &amp; Arbitration: By submitting your application, you agree to our<a href="https://www.coinbase.com/legal/applicant_privacy_notice"> Candidate Privacy Notice</a>. US applicants: By submitting your application, you agree to<a href="https://www.coinbase.com/legal/application-arbitration-agreement"> Arbitration of Disputes</a>. </li>
</ul>
<div id="fortidlp-input-element-parent"></div></div>

Staff Machine Learning Engineer

📍Cardiff, London or Remote (UK) | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing <h3>About our Financial Health Team:</h3>We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.<h3>What you’ll be working on:</h3>As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.At <a href="https://himalayas.app/companies/monzo">Monzo</a> we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. <h3>Your day-to-day:</h3><ul>
<li>Generate insights that can drive the direction of our Financial Health strategy through proactive analysis</li>
<li>Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life</li>
<li>Work and advise on Financial Health’s global expansion strategy</li>
<li>Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health</li>
<li>Ensure accurate reporting to third parties and regulators</li>
<li>Build and maintain controls to ensure our business processes are running as intended </li>
<li>Lead projects to improve the accuracy, efficiency and accessibility of our data</li>
</ul><h3>Locations &amp; flexible working </h3>Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.Work the way that works for you at <a href="https://himalayas.app/companies/monzo">Monzo</a>! 💼<h3>Our technology stack:</h3>OurData team's mission is to Enable <a href="https://himalayas.app/companies/monzo">Monzo</a> to Make Better Decisions, FasterAt the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):<ul>
<li>Google Cloud Platform for all of our analytics infrastructure</li>
<li>dbt andBigQuery SQL for our data modelling and warehousing</li>
<li>Python for data science</li>
<li>Go to write our application code</li>
<li>AWS for most of our backend infrastructure</li>
</ul><h3>You should apply if:</h3><ul>
<li>What we’re doing here at <a href="https://himalayas.app/companies/monzo">Monzo</a> excites you!</li>
<li>You are passionate about using data to improve and inform business decisions</li>
<li>You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions</li>
<li>You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business</li>
<li>You’re as comfortable getting hands-on as taking a step back and thinking strategically</li>
<li>You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same</li>
<li>You have a solid grounding in SQL </li>
<li>Experience in Financial Health is a plus, but not required.</li>
</ul>We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework<h3>The Interview Process:</h3>Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!<ul>
<li>30 minute recruiter call </li>
<li>45 minute initial call </li>
<li>Take home task</li>
<li>2 x 1-hour video calls, including a technical case study</li>
</ul>Our average process takes around 3-4 weeks but we will always work around your availability. <h3>What’s in it for you:</h3>💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits <h3>✈️ We can help you relocate to the UK </h3><h3>✅ We can sponsor visas</h3>📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.📚Learning budget of £1,000 a year for books, training courses and conferences➕And much more, see our full list of benefits hereOriginally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Analyst, Financial Health

<h3>Senior/Staff Machine Learning Data Scientist</h3>

<h3>In Brief</h3>
<ul>
<li>
We’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
</li>
<li>
TLDR: Independent end-to-end model development with ability to work cross-functionally with Clinical, Engineering, and Product to clarify and prioritize specifications and features for our life-saving AI models.
</li>
</ul>
<h3>Who We Are</h3>
<a href="https://jobicy.com/company/bayesian-health" target="_blank" rel="noopener">Bayesian Health</a>’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
<a href="https://www.bayesianhealth.com/sepsis-research/?__hstc=251652889.1e7598f5de0ed9b513da684474e8a044.1710861879595.1710945070565.1710971833587.3&amp;__hssc=251652889.1.1710971833587&amp;__hsfp=1890770568" rel="nofollow ugc noopener" target="_blank">Read more about our recent publication in Nature Medicine that associates our products with lives saved.</a>

<h3>What you’ll do</h3>
As a Senior/Staff Machine Learning Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model’s predictions by reading and writing production-grade Python and SQL code.
Responsibilities
<ul>
<li>
Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods
</li>
<li>
Productionizing: The same models that you develop with production-grade Python
</li>
<li>
Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies
</li>
<li>
Cross-Functional Alignment: Data Science for storytelling – understand model performance and metrics, and present this to technical and non-technical users, both internally and externally
</li>
</ul>
<h3>Minimum qualifications</h3>
<ul>
<li>
Ph.D. in a relevant field plus 3+ years experience shipping ML based software products
</li>
<li>
Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time
</li>
<li>
Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems
</li>
<li>
Track record of using statistics and performance metrics to compare end-to-end ML and product performance
</li>
</ul>
<h3>Preferred qualifications</h3>
<ul>
<li>
Experience shipping breakthrough or 0-1 products from end to end, interpreting and leveraging State-of-the-Art methods to do so
</li>
<li>
Experience using messy clinical and health data to design new products for large Health Systems
</li>
<li>
Experience with any of the following: PyTorch, PySpark, HL7, FHIR, EHR, time series data, signal processing, MLFlow, anomaly detection, Bayesian statistics, quantile regression, time-series forecasting
</li>
<li>
You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!
</li>
</ul>
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Senior/Staff Machine Learning Data Scientist

<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>The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.&nbsp; In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals.&nbsp; You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact.&nbsp; This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant.
What will you be doing:
<ul>
<li>Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.</li>
<li>Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.</li>
<li>Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.</li>
<li>Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.</li>
<li>Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.</li>
</ul>
What we’re looking for:
<ul>
<li>Minimum 7 years of industry experience, including 2+ years of tech leading teams</li>
<li>MS or PhD degree in computer science, machine learning, or equivalent industry experience.</li>
<li>Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience</li>
<li>Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).</li>
<li>Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)</li>
<li>Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.</li>
<li>Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.</li>
<li>Excellent cross-functional communication and collaboration skills</li>
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> 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/quarter and can be situated anywhere in the USA. </li>
</ul>
#LI-AK7 #LI-REMOTE<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">$189,308&mdash;$389,753 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 Machine Learning Engineer, Content Visual AI

<div class="content-intro">
On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. 
</div><h3>Job Description</h3><h3>About Us</h3>On this journey for over 12 years, <a href="https://himalayas.app/companies/qventus">Qventus</a> is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.Our success in rapid scale across the globe is backed by some of the world's leading investors. At <a href="https://himalayas.app/companies/qventus">Qventus</a>, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.<h3>About the Role</h3>We’re looking for an experienced Data Scientist to join our Data Science team. In this role, you will leverage your expertise to develop and implement cutting edge solutions leveraging a wide range of machine learning, statistical, and other mathematical optimizations. You will evaluate potential modeling approaches, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML &amp; LLM solutions to boost <a href="https://himalayas.app/companies/qventus">Qventus</a> intelligence and outcomes. You’ll work cross-functionally with clinicians, data scientists, data platform engineers, and product experts to shape solutions that deliver measurable value.This is a high-impact role that will influence our models and products that improve the quality of healthcare and save patient lives, strengthen customer outcomes, and shape our company’s growth trajectory.<h3>Key Responsibilities</h3><ul>
<li>Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.</li>
<li>Develop, tune, and deploy LLM systems with an eye towards rigorous evaluation of performance and user trust.</li>
<li>Design comprehensive experiments and devise impactful analytics to measure the net impact of AI in healthcare settings.</li>
<li>Perform hands-on data engineering: cleaning, transforming, and building pipelines (SQL, Python).</li>
<li>Collaborate with cross-functional teams to translate data insights into deployed products.</li>
<li>Strong ability to communicate findings clearly to both technical and non-technical audiences.</li>
</ul><h3>What We’re Looking For</h3><ul>
<li>3+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.</li>
<li>1+ years experience developing and tuning LLM systems.</li>
<li>Strong cross-functional communication with technical and non-technical partners.</li>
<li>Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.</li>
<li>Strong software development foundations - dedication to high code quality, stable architecture</li>
</ul><h3>Bonus Points For</h3><ul>
<li>Background in healthcare data or hospital operations.</li>
<li>Experience with Databricks, AWS, DBT, or similar platforms.</li>
<li>Master’s degree or equivalent professional experience in Computer Science, Statistics, or related fields</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description">Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at <a href="https://himalayas.app/companies/qventus">Qventus</a>. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.</div>
<div class="title">Salary Range</div>
<div class="pay-range">$130,000—$170,000 USD</div>
</div></div><div class="content-conclusion">
 <a href="https://himalayas.app/companies/qventus">Qventus</a> values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers. 
 <a href="https://himalayas.app/companies/qventus">Qventus</a> participates in the E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). In compliance with the California Consumer Privacy Act (CCPA), <a href="https://himalayas.app/companies/qventus">Qventus</a> provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice. 
 *Benefits and perks are subject to plan documents and may change at the company's discretion. 
 *Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test. 
</div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Scientist

About Roamless The origin story of Roamless is one that will be familiar to many: we saw something broken and we decided to fix it for good. &#x200D;We all travel. We all need to stay connected. And we all hate roaming charges. Existing alternatives were clunky, expensive, and unreliable, so we built something better. We made it easy, reliable and affordable for travellers to get connected and stay connected as they roam the world. Our truly global mobile connectivity service is up to 90% cheaper than traditional roaming. With one eSIM, you get instant, reliable data anywhere in the world. No SIM swaps, no hunting for Wi-Fi, no choosing countries or data packs. Your balance never expires, so you can use it across trips with zero hidden fees or expiration dates. In just 3 years, we&apos;ve grown 4-5x year-on-year and have been trusted by +2M users who overall rate us 4.6 on Trustpilot. &#x1F680; We also recently closed a $12M Series A led by Rasmal Ventures, with participation from Endeavor Catalyst, Shorooq and Revo Capital, and, to fuel our mission of becoming the world&#x2019;s first truly global mobile operator. Hiring remotely, we&#x2019;re a team of 75 working across 17 different countries across EMEA. About The Role Roamless has a product that 2M travelers use across 200+ countries. We&apos;ve built it fast. Now we&apos;re entering our optimization phase, and we don&apos;t have a product analytics practice yet. No experimentation framework, no analytics playbook, no established processes. You&apos;ll be the first dedicated product analytics hire at Roamless. That means you decide how we run experiments, choose the tools we use, make data accessible to the product team, and establish the frameworks that drive every product decision going forward. This is not a role where you inherit someone else&apos;s dashboards and maintain them. You&apos;ll set up how we measure success, how we design experiments, and how the team learns from data. You&apos;ll work closely with Elisa (Head of Product), and the wider product, design, and engineering teams. Your work will directly shape everything from onboarding to pricing across our app, website, and partner portal. Note From Our Hiring Manager, Elisa Hi, I&apos;m Elisa, and I head the Product team at Roamless. I&apos;ve spent my career building products at companies like Trivago (Analytics product), Grab, and Visa. As an avid traveller myself, I know we can build the best cross-border connectivity experience for our users. I&apos;m working alongside Ali, our COO, and the rest of the founders, who, between them have over 20 years of combined experience in building telecom infrastructure. This mix of deep telco know-how combined with strong product thinking is what makes us uniquely positioned to win this market. What You Will Do <ul><li>Work closely with product managers, engineers, and designers as a strategic partner throughout the product development lifecycle, using data to shape decisions from ideation to execution</li><li>Design and run A/B tests end-to-end: define hypotheses, calculate sample sizes, monitor experiments, analyze results, and make clear recommendations to the product team</li><li>Build the experimentation framework from scratch: establish best practices for how we design, run, and learn from experiments across the app, website, and partner portal</li><li>Analyze user behavior and product metrics to identify optimization opportunities in our PLG metrics: activation, monetization, retention</li><li>Define and track key product metrics, ensuring the team understands what success looks like and how we measure it</li><li>Translate data insights into actionable product recommendations that directly improve the customer experience</li><li>Build our data culture: teach the product team how to think about experiments, interpret results, and make data-informed decisions </li></ul>Must-haves What you will bring: <ul><li>5+ years of experience as a Product Analyst or similar role at a tech company, working alongside product, design, and engineering teams</li><li>Hands-on experience designing and running A/B tests at scale (sample sizing, statistical significance, common pitfalls) and translating results into clear product recommendations</li><li>Experience setting up experimentation frameworks and analytics best practices, ideally from scratch or at an early-stage company</li><li>Proficient in SQL: you can write complex queries independently to extract and analyze large datasets</li><li>Experience creating dashboards with BI tools (Tableau, Looker, or similar)</li><li>Experience with product analytics tools (Mixpanel, Amplitude, or similar)</li><li>Strong communicator: you translate data into product recommendations that non-analysts can understand and act on</li><li>Proactive and resourceful: you thrive where things aren&apos;t fully defined, and you make them clearer</li><li>Startup or fast-paced environment experience. You are comfortable with ambiguity, happy to wear many hats </li></ul>Nice-to-haves <ul><li>Python or R for statistical analysis</li><li>Experience with MongoDB, BigQuery, Snowflake, or Google Analytics</li><li>Experience in travel, marketplace, or subscription business models</li><li>Worked across mobile and web applications </li></ul>To get more context on who we are and how we work, read &quot;Who is a Roamie? Our Core Traits Manifesto&quot;. It explains the core traits we look for in everyone we hire. What we offer <ul><li>&#x1F4C8; Stock options. All employees are eligible for stock options subject to tenure and performance.</li><li>&#x1F4BB; Hardware you need to be most productive</li><li>&#x1F4BB; Home office budget. $500 on equipment for home office setup (eg. a keyboard, a screen, etc). This is a one-off budget that doesn&#x2019;t renew every year, but doesn&#x2019;t expire.</li><li>&#x1F393; Learning and development budget. Up to $1000 annually to be spent on books, online courses, conferences, etc.</li><li>&#x1F30E; Fully remote. The trust and flexibility that come with a fully-remote setup. Fully remote. We&apos;re looking for someone based in Europe, or working in a Europe-friendly time zone (CET &#xB1;2 hours).</li><li>&#x1F310; $200 non-expiry yearly Flex credit for data, hotspot, and calls.</li><li>&#x1F4F1;Annual phone number subscription for $1/year. You get an annual phone number subscription for $1/year. A real phone number (UK, Canada, or Australia) inside the Roamless app.</li><li>&#x1F4DD; Full-time local contract via EOR</li><li>&#x1F917; Supportive, diverse, inclusive team </li></ul>Note on compensation: Our salary range varies based on your location and experience level. We&apos;re a fully remote team, so we factor in local market context, not a one-size-fits-all number. Compensation The base pay range for this role is &#x20AC;50,000 &#x2013; &#x20AC;80,000 per year.

Senior Product Analyst

&#x1F680; Estamos buscando el mejor talento&#x2026; &#xA1;y nos encantar&#xED;a que te unieras a nuestro equipo!UST es una multinacional l&#xED;der en servicios de tecnolog&#xED;a digital, certificada como Top Employer, con m&#xE1;s de 35.000 profesionales en todo el mundo y presencia en m&#xE1;s de 30 pa&#xED;ses. Ayudamos a grandes compa&#xF1;&#xED;as a trav&#xE9;s de soluciones tecnol&#xF3;gicas innovadoras y proyectos de transformaci&#xF3;n digital. &#x1F50E; &#xBF;Qu&#xE9; buscamos?Buscamos un/a PL/SQL Data Analyst con experiencia avanzada en Power BI para incorporarse a un squad Agile y participar de forma integral en el ciclo de vida de las user stories, desde el an&#xE1;lisis de requisitos hasta la validaci&#xF3;n final con negocio.La persona seleccionada ser&#xE1; responsable de garantizar la calidad, consistencia y fiabilidad de la informaci&#xF3;n reportada, trabajando estrechamente con equipos t&#xE9;cnicos y stakeholders de negocio para desarrollar soluciones de reporting de alto impacto. &#x1F4CD; Ubicaci&#xF3;n: 100% remoto (Espa&#xF1;a)&#x1F5E3;&#xFE0F; Idioma: Ingl&#xE9;s nivel B1 o superior &#x1F527; Responsabilidades principales<ul><li>Analizar requisitos funcionales y transformarlos en soluciones anal&#xED;ticas eficientes.</li><li>Dise&#xF1;ar, desarrollar y optimizar dashboards, informes y visualizaciones avanzadas en Power BI.</li><li>Realizar validaciones y an&#xE1;lisis de datos para asegurar la calidad de la informaci&#xF3;n.</li><li>Desarrollar y mantener consultas y procedimientos en PL/SQL.</li><li>Participar en actividades de testing y soporte durante las fases de validaci&#xF3;n con usuarios de negocio.</li><li>Colaborar activamente dentro de un entorno Agile participando en ceremonias y actividades del squad.</li><li>Garantizar la consistencia, trazabilidad y fiabilidad de los datos reportados.</li><li>Proponer mejoras y automatizaciones sobre los procesos de reporting existentes.</li></ul> &#x2705; Requisitos clave<ul><li>M&#xED;nimo de 5-6 a&#xF1;os de experiencia desarrollando dashboards, reporting y visualizaciones en Power BI.</li><li>Entre 3 - 4 a&#xF1;os de experiencia en PL/SQL.</li><li>Experiencia s&#xF3;lida en modelado de datos.</li><li>Experiencia en validaci&#xF3;n, an&#xE1;lisis y control de calidad de datos.</li><li>Experiencia trabajando con metodolog&#xED;as Agile.</li><li>Capacidad anal&#xED;tica, orientaci&#xF3;n al detalle y compromiso con la calidad de los datos.</li><li>Buenas habilidades de comunicaci&#xF3;n y experiencia colaborando con usuarios de negocio.</li><li>Nivel de ingl&#xE9;s B1 o superior.</li></ul> &#x2B50; Valoraremos especialmente<ul><li>Conocimientos de Scala a nivel intermedio (3-4 a&#xF1;os)</li><li>Experiencia en la definici&#xF3;n y seguimiento de KPIs y m&#xE9;tricas de negocio.</li><li>Experiencia en optimizaci&#xF3;n y automatizaci&#xF3;n de procesos de reporting.</li><li>Participaci&#xF3;n en procesos UAT, User Acceptance Testing.</li><li>Experiencia acompa&#xF1;ando y dando soporte a usuarios de negocio durante las fases de validaci&#xF3;n y despliegue.</li></ul> &#x1F4B0; &#xBF;Qu&#xE9; ofrecemos?&#x2708;&#xFE0F; 23 d&#xED;as de vacaciones + 24 y 31 de diciembre.&#x2764;&#xFE0F; Beneficios sociales (seguro m&#xE9;dico, seguro de vida y accidentes, compensaci&#xF3;n de teletrabajo).&#x1F374; Programa de retribuci&#xF3;n flexible (restaurante, guarder&#xED;a, transporte, formaci&#xF3;n de idiomas y seguro de salud).&#x1F393; Acceso gratuito a m&#xFA;ltiples plataformas de formaci&#xF3;n.&#x1F680; Estabilidad profesional y plan de carrera.&#x1F91D; Programa de referidos con incentivos.&#x1F4B3; Posibilidad de elegir entre 12 o 14 pagas.&#x1F3E0; Medidas reales de conciliaci&#xF3;n y flexibilidad laboral.&#x1F381; Descuentos exclusivos a trav&#xE9;s de UST Club y acuerdos con gimnasios. &#x1F4E9; Si te apasionan los datos, Power BI y la generaci&#xF3;n de insights de negocio, queremos conocerte. &#xA1;Inscr&#xED;bete y forma parte de UST! En UST estamos comprometidos con la igualdad de oportunidades y la diversidad. Todos los procesos de selecci&#xF3;n se realizan sin discriminaci&#xF3;n por raz&#xF3;n de g&#xE9;nero, edad, discapacidad, raza, religi&#xF3;n, orientaci&#xF3;n sexual o nacionalidad.

PL/SQL Data Analyst (Power BI) - 100% Remote

<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>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 <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>.
As a Data Scientist in our Core organization - Trust and Safety + Content Quality, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. The core mandate is to evolve the organization from reactive moderation and lagging harm reporting into a proactive, metrics-driven operating system—where we manage leading indicators that predict risk, improve understanding quality, and keep Pinterest safe, inspiring, and useful.
What you’ll do:
<ul>
<li>Develop a deep, nuanced understanding of the Pinterest trust and safety platform, quantifying full funnel opportunities and risks</li>
<li>Lead projects on: Trust and Safety opportunities across different funnel stages</li>
<li>Design and productionize robust, scalable ML and evaluation frameworks—spanning statistical measurement, product recommendation, and forecasting</li>
<li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love</li>
<li>Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners</li>
<li>Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development</li>
<li>Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest</li>
</ul>
&nbsp;
What we’re looking for:
<ul>
<li>Minimum 10 years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li>
<li>Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields</li>
<li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output</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)</li>
<li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li>
<li>A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions</li>
<li>Excellent communication and influencing skills</li>
<li>Bachelor’s degree in Computer Science, a related field or equivalent experience</li>
</ul>
&nbsp;
Relocation 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/quarter and therefore can be situated anywhere in the country.</li>
</ul>
Relocation Statement:
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li>
</ul>
&nbsp;
#LI-NM4
#LI-REMOTE<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">$164,695&mdash;$339,078 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 Data Scientist, Trust and Safety

<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’re looking for a Sr. Software Engineer , Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams.
&nbsp;
What you’ll do:
&nbsp;
<ul>
<li>Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work.</li>
<li>Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics.</li>
<li>Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions.</li>
<li>Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices.</li>
<li>Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use.</li>
<li>Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements.</li>
<li>Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use.</li>
</ul>
&nbsp;
What we’re looking for:
&nbsp;
<ul>
<li>Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.</li>
<li>Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning.</li>
<li>Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets.</li>
<li>Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams.</li>
<li>Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows.</li>
<li>Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or 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 degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience.</li>
</ul>
&nbsp;
Relocation Statement:
&nbsp;
<ul>
<li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/">PinFlex</a> page to learn more about our working model.</li>
</ul>
&nbsp;
In-Office Requirement Statement:
<ul>
<li>PinFlex: 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 per month and therefore can be situated anywhere in the country.</li>
</ul>
#LI-REMOTE<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">$183,040&mdash;$320,320 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>

Sr. Software Engineer, Data Analytics Engineering

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Analyst (CX) based in United Kingdom. This role sits at the heart of product decision-making, using data to uncover opportunities, validate hypotheses, and drive measurable growth. You will take ownership of the product metrics framework and ensure teams have clear, reliable definitions for the numbers that matter most. Working closely with Product and functional leaders, you will investigate anomalies, identify bottlenecks, and translate complex data into actionable insights. You will play a key role in designing and analyzing A/B tests, from experiment setup and statistical validation through recommendations. The position combines rigorous quantitative analysis with strong business and product judgment in a highly collaborative, distributed environment. Your work will directly influence prioritization and help teams focus on opportunities with the greatest potential impact. This is an excellent opportunity for an analytical professional who enjoys turning data into strategic product decisions. Accountabilities <ul><li>Own and continuously evolve the product metrics tree, ensuring that key metrics have clear, consistent, and locked definitions and that each team can understand how its work influences the overall north-star metric.</li><li>Validate existing metrics and dashboards, identify inconsistencies, and create clear specifications for Data Engineering to ensure reliable and accurate reporting.</li><li>Partner directly with functional and product leads to investigate fluctuations, anomalies, and unexpected changes in business and product performance.</li><li>Conduct ad-hoc research to identify bottlenecks, conversion drop-offs, meaningful customer segments, and non-obvious patterns that may reveal growth opportunities.</li><li>Validate product hypotheses through rigorous quantitative analysis and collaborate with Product teams to prioritize problems according to their potential impact on key business metrics.</li><li>Design and analyze A/B tests, including sample-size calculations, minimum detectable effect, experiment duration, randomization splits, and pre-test validation.</li><li>Verify experiment split correctness, perform sanity checks before interpreting results, and report outcomes alongside appropriate guardrail metrics.</li><li>Define data-tracking requirements for experiments, including the events and instrumentation needed to measure results accurately.</li><li>Maintain an organized archive of experiments and ensure every test produces clear, actionable recommendations for future product decisions.</li><li>Proactively identify data-quality issues and inconsistencies before unreliable information is used to make important product or business decisions. </li></ul>Requirements <ul><li>A higher education degree in mathematics, statistics, computer science, engineering, or another relevant technical discipline.</li><li>Strong knowledge of mathematical statistics and probability theory, with proven experience applying statistical methods to real-world analytical and product problems.</li><li>Advanced proficiency in data extraction, processing, analysis, and visualization, with hands-on experience using MS SQL, Python, and Excel.</li><li>Deep practical experience designing, running, and analyzing A/B tests, including statistical evaluation and interpretation of experiment results.</li><li>Strong understanding of marketing and product metrics, with experience applying them to evaluate performance, identify opportunities, and support strategic decisions.</li><li>Strong analytical and problem-solving abilities, with the capacity to investigate complex questions, identify meaningful patterns, and translate findings into practical recommendations.</li><li>Excellent communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, and functional leadership teams.</li><li>A proactive, detail-oriented mindset and a strong sense of ownership, particularly when it comes to data quality, metric consistency, and the reliability of insights used for decision-making. </li></ul>Benefits <ul><li>Fully remote, full-time work opportunity.</li><li>Competitive compensation, with the initial pay level or salary range shared with candidates during the recruitment process and before employment begins.</li><li>28 calendar days of paid vacation per year.</li><li>7 wellness days per year that can be used for personal matters, recovery, or time away from work without requiring sick leave.</li><li>Referral bonuses of up to $5,000 for successfully recommending candidates who are hired.</li><li>50% reimbursement for professional training, international conferences, and professional meetings.</li><li>Corporate discounts for English language lessons.</li><li>Health benefits, including reimbursement of up to $1,000 gross per year per employee when corporate medical insurance is not available, which can be used toward private health insurance or eligible medical expenses for the employee and close relatives.</li><li>Workplace support, including equipment and an equipped workspace where applicable, or reimbursement of up to $1,000 gross once every three years toward coworking costs or home-office setup expenses such as a desk, chair, or internet.</li><li>An internal gamified recognition system that allows employees to receive rewards from colleagues and exchange them for merchandise, team-building activities, massage certificates, and other benefits.</li><li>A flexible, international remote environment designed to support collaboration across different locations and working styles. </li></ul>How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role&apos;s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Senior Product Analyst (CX)

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<div><a href="https://jobicy.com/company/reddit" target="_blank" rel="noopener">Reddit</a> 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 href="http://www.redditinc.com/" target="_blank" rel="nofollow ugc noopener">www.redditinc.com</a>.</div>
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</div>
</div>
</div></div>Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality.This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization.Responsibilities:<ul>
<li>Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy.</li>
<li>Advance Lift Methodologies &amp; Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers.</li>
<li>Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS.</li>
<li>Define Ground Truth &amp; Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.</li>
<li>Lead Through Cross-Functional and Technical Influence: Collaborate deeply with engineering, product, and sales to align on strategic goals, translate insights into action, and drive execution. Set a high technical bar by mentoring others and championing best practices across modeling, experimentation, and measurement.</li>
</ul>Qualifications:Required:<ul>
<li>Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research</li>
<li>For M.S. holders: 10+ years of industry experience in applied science or data science roles</li>
<li>For Ph.D. holders: 6+ years of industry experience in applied science or data science roles</li>
<li>Deep understanding of the ads ecosystem</li>
<li>Demonstrated expertise in at least one of the following areas:</li>
<ul>
<li>Measurement &amp; Experimentation at Scale (with focus on lift and attribution)</li>
<li>Identity Graph Creation &amp; Resolution Methodology and Infrastructure</li>
<li>Predictive Modeling with Signal Loss</li>
</ul>
<li>Advanced proficiency in statistical programming (Python or R) and SQL.</li>
<li>Experience with machine learning or optimization techniques</li>
<li>Strong understanding of experimental design, causal inference, or A/B testing methodologies</li>
<li>Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners</li>
<li>Experience working in fast-paced, ambiguous environments with cross-functional teams</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 </li>
</ul> #LI-Remote<div>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. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. 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" rel="nofollow ugc noopener" target="_blank">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. 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 Data Scientist - Ads Measurement, Signals, Privacy

In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web.
Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.
We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us.
<h3>Responsibilities:</h3>
<ul>
<li>Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments&nbsp;</li>
<li>Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers</li>
<li>Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support</li>
<li>Help us implement the data and analytics products we’ll need to effect our bank charter</li>
<li>Contribute to the evolution of our data quality, governance, and security strategies</li>
<li>Contribute to our definition of Analytics Engineering standards and best practices</li>
</ul>
<h3>You may be a good fit if you:</h3>
<ul>
<li>Have 4+ years of Analytics or Data Engineering experience</li>
<li>Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents</li>
<li>Are proficient with SQL and have working experience with Python</li>
<li>Proficient using AI agents to accelerate your and your teammates’ work</li>
<li>Have experience with dimensional data modeling principles and building data for scale</li>
<li>Treat data products as a platform by prioritizing reusable, scalable deliverables</li>
<li>Deliver readable code, strong tests, and quality documentation</li>
<li>Experiment responsibly and share what you learn so everyone benefits</li>
<li>Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed</li>
<li>Discern what’s needed from what’s wanted to deliver maximum impact</li>
</ul>
<h3>Strong candidates may additionally have:</h3>
<ul>
<li>Banking* or financial services industry experience</li>
<li>Experience with agentic development and/or analytics workflows</li>
<li>Exposure to data governance, compliance, and security best practice</li>
<li>A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis</li>
</ul>
If this role interests you, we invite you to explore our public demo at <a href="demo.mercury.com">demo.mercury.com</a>.&nbsp;
*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity &amp; belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
#LI-GC1<div class="content-pay-transparency"><div class="pay-input"><div class="description">Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.
Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:</div><div class="title">US employees (any location):</div><div class="pay-range">$166,600&mdash;$208,300 USD</div></div><div class="pay-input"><div class="title">Canadian employees (any location):</div><div class="pay-range">$157,400&mdash;$196,800 CAD</div></div></div>

Senior Analytics Engineer

<div class="content-intro">Ready to do the most impactful work of your career? At <a href="https://himalayas.app/companies/coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. <a href="https://himalayas.app/companies/coinbase">Coinbase</a> is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at <a href="https://himalayas.app/companies/coinbase">Coinbase</a>.</div>Data Science is an integral component of <a href="https://himalayas.app/companies/coinbase">Coinbase</a>’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across <a href="https://himalayas.app/companies/coinbase">Coinbase</a>'s consumer products—spot and advanced trading, yield, <a href="https://himalayas.app/companies/coinbase">Coinbase</a> One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.<h3>What you'll be doing:</h3><ul>
<li>Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.</li>
<li>Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. </li>
<li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. </li>
<li>Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.</li>
</ul><h3>What we look for in you:</h3><ul>
<li>A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li>
<li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. </li>
<li>Ability to influence external stakeholders by synthesizing data learnings into compelling stories.</li>
<li>Practical expertise in applying complex modeling frameworks to practical business problems. </li>
<li>Professional experience using SQL and Python.</li>
<li>Experience working with digital products in an iterative development cycle.</li>
<li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li>
<li>Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.</li>
</ul><div class="content-pay-transparency"><div class="pay-input">
<div class="description">Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation mayalso include equity and bonus eligibility and benefits (including medical, dental, and vision).</div>
<div class="title">Annual base salary range (excluding equity and bonus):</div>
<div class="pay-range">£122,400—£136,000 GBP</div>
</div></div><div class="content-conclusion"><ul>
<li>
Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.</li>
<li>Equal Opportunity Employer: <a href="https://himalayas.app/companies/coinbase">Coinbase</a> is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</li>
<li>US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.</li>
<li>Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.</li>
<li>Data Privacy &amp; Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.</li>
</ul></div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Senior Data Scientist, Product

<div class="content-intro"><a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</div>The Autonomy Mapping &amp; Localization group's mission is to provide our vehicles with world-class spatial intelligence, semantic and topological mapping, and state estimation to model and navigate complex urban, suburban, and rural environments. We are looking for a Lead ML Engineer to join our team and architect the next generation of our mapping and localization stack. As the Lead ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and navigate the world's most challenging roads at scale.<h3>Essential Responsibilities</h3><ul>
<li>Architect, design, and implement a production-grade lane and route network mapping stack, ensuring high-performance integration with the broader autonomy system</li>
<li>Lead the research, design, training and validation of advanced neural architectures. This includes object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction to extract and model lane and route networks, alongside key semantic features (e.g., traffic signs, signals, and road markings), for automated mapping.</li>
<li>Drive major feature development from inception to deployment. This includes high-level architecture design, rigorous code reviews, automated testing, mentorship of junior engineers, and technical resolution.</li>
<li>Own the end-to-end data strategy for the mapping domain. You will define data curation, auto-labeling, synthetic data, and active learning pipelines to capture and resolve long-tail scenarios.</li>
<li>Develop robust metrics and evaluation frameworks for lane and route network accuracy, temporal consistency, and scaling across diverse Operational Design Domains (ODDs).</li>
<li>Work independently with cross-functional teams to translate complex autonomy goals into clear software and system requirements.</li>
<li>Collaborate with ML and Autonomy engineers to ensure the seamless deployment and validation of mapping features to the vehicle fleet.</li>
<li>Stay at the research frontier by evaluating, adapting, and innovating cutting-edge techniques. This includes online vectorized HD map construction, end-to-end mapping models, and vision/fusion foundation models to deliver production-ready solutions.</li>
</ul><h3>Qualifications and Experience</h3>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:<h3>Required</h3><ul>
<li>Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field with a strong mathematical and engineering foundation.</li>
<li>7+ years of industry experience developing and deploying ML/DL models for mapping or computer vision at scale.</li>
<li>Deep expertise in several of the following areas:</li>
<ul>
<li>Computer Vision Foundations: Object detection, classification, segmentation, tracking, depth estimation, and 3D reconstruction.</li>
<li>Lane-level topology and connectivity, intersection modeling, and lane/road network graph construction.</li>
<li>Vectorized mapping networks (e.g., MapTR), BEV-based scene representation, and temporal modeling.</li>
<li>Self-supervised/semi-supervised and vision/fusion Foundation Models.</li>
</ul>
<li>Strong understanding of HD maps, including lane and road network geometry modeling, connectivity, and semantic attributes.</li>
<li>Expertise in ML/DL development using PyTorch or TensorFlow, including experience with distributed training, synthetic data generation, large-scale dataset handling, and data curation strategies.</li>
<li>Strong programming skills in Python and/or C++ with experience in modular software design and Linux-based development.</li>
<li>Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable improvements in model performance and system reliability.</li>
<li>Strong communication skills with the ability to lead technical discussions and align with cross-functional teams.</li>
</ul><h3>Desirable</h3><ul>
<li>10+ years of experience in ML/DL for autonomous driving or ADAS systems.</li>
<li>Experience with feature extraction and/or fusion from both street-level and overhead imagery.</li>
<li>Experience utilizing Vision-Language Models (VLMs) and/or Foundation Models for auto-labeling and long-tail (edge-case) detection.</li>
<li>Expertise in ML optimization for real-time products with limited compute, such as quantization and pruning of large transformer models.</li>
<li>A proven record of inventions and/or publication record at top-tier conferences (e.g., CVPR, NeurIPS, ICCV, ECCV, ICLR).</li>
</ul><h3>Physical Requirements</h3><ul>
<li>Standard office working conditions which includes but is not limited to:</li>
<ul>
<li>Prolonged sitting</li>
<li>Prolonged standing</li>
<li>Prolonged computer use</li>
</ul>
<li>Travel required? - Moderate: 11%-25%</li>
</ul><hr><div class="c-message_kit__blocks c-message_kit__blocks--rich_text"><div class="c-message__message_blocks c-message__message_blocks--rich_text"><div class="p-block_kit_renderer"><div class="p-block_kit_renderer__block_wrapper p-block_kit_renderer__block_wrapper--first"><div class="p-rich_text_block">
<div class="p-rich_text_section">
<h3>Benefits and Perks</h3>
<ul>
<li>Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. </li>
<li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li>
<li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li>
<li>Generous paid parental leave as well as a phased return to work. </li>
<li>Flexible vacation policy in addition to paid company holidays.</li>
<li>Total Wellness Program providing numerous resources for overall wellbeing </li>
</ul>
</div>
<div class="p-rich_text_section">Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At <a href="https://himalayas.app/companies/may-mobility">May Mobility</a>, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.</div>
</div></div></div></div></div>Want to learn more about our culture &amp; benefits? Check out our website!<a href="https://himalayas.app/companies/may-mobility">May Mobility</a> is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.Note to Recruitment Agencies: <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not accept unsolicited agency resumes. Furthermore, <a href="https://himalayas.app/companies/may-mobility">May Mobility</a> does not pay placement fees for candidates submitted by any agency other than its approved partners.<div class="content-pay-transparency"><div class="pay-input">
<div class="title">Salary Range</div>
<div class="pay-range">$225,000—$275,000 USD</div>
</div></div>Originally posted on <a href="https://himalayas.app">Himalayas</a>

Lead ML Engineer - Mapping

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.

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