Mid-Senior Data Scientist - Chemical Manufacturing Process Optimization

About the Role

We are seeking a talented Data Scientist - Chemical Manufacturing to join our team remotely. This is an exciting opportunity to lead data-driven improvements in chemical manufacturing processes using AI/ML and predictive analytics. As a Data Scientist - Chemical Manufacturing Remote, you will play a crucial role in optimizing processes and driving efficiency gains.

What You'll Do

• 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.
• Utilize 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

• PhD in Chemical Engineering, Chemistry, or related field.
• 3–5 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 Have

• Experience in the pharmaceutical industry.

What We Offer

• Competitive compensation of $75-90/hr on W2, translating to an annual salary range of $156,000 - $187,200.
• 100% remote work with some travel for onboarding.
• Health insurance plan enrollment eligibility.
• Retirement plan enrollment eligibility.
• Paid sick leave eligibility as per applicable state or local law.