
Data Scientist (Chemical Manufacturing)
Department:Data Analysis
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Salary:$156,000 - $187,200
Skills:
PYTHONRSQLREST APISGENERATIVE AILLMSRAGPROMPT ENGINEERINGPREDICTIVE ANALYTICSMACHINE LEARNINGDATA ANALYSISPROCESS OPTIMIZATIONCHEMICAL ENGINEERING
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Job Description
Posted on: January 24, 2026
Apply now: Data Scientist β Chemical Manufacturing, Remote + Travel). The start date is ASAP for this 1-year contract position.
Job Title: Data Scientist β Chemical Manufacturing
Location-Type: 100% Remote +some Travel in the beginning weeks
Start Date Is: ASAP
Duration: 1-Year Contract
Compensation Range: $75-90/hr on W2
Job Description:
Lead data-driven improvements in chemical manufacturing processes using AI/ML and predictive analytics.
Day-to-Day Responsibilities:
- Analyze manufacturing processes to identify opportunities for efficiency gains and cost savings
- Develop and implement predictive models for material usage and production optimization
- Apply generative AI and LLMs for research and solution development
- Use Python, R, SQL, and REST APIs for data processing and model deployment
- Collaborate with cross-functional teams to drive process improvement initiatives
- Own projects from ideation to execution, delivering measurable business impact
- Travel to the Newark, DE site initially weekly for onboarding, then monthly
Requirements:Must-Haves:
- PhD in Chemical Engineering, Chemistry, or related field
- 3β5 years of hands-on experience in chemical manufacturing environments
- Strong industrial/process optimization and data analysis experience
- Proficiency in Python, R, SQL, REST APIs
- Experience with GenAI, LLMs (OpenAI, Meta, Google), RAG, Prompt Engineering
- Demonstrated ability to lead programs and communicate effectively
- Quick learner with a strong sense of ownership
Nice-to-Haves:
- Experience in the pharmaceutical industry
Benefits:
- This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility
Originally posted on LinkedIn
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