Data Scientist - Chemical Manufacturing Process Optimization

Mondo United State
Remote
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AI Summary

Lead data-driven improvements in chemical manufacturing processes using AI/ML and predictive analytics. Analyze manufacturing processes, develop predictive models, and apply generative AI for research and solution development. Collaborate with cross-functional teams to drive process improvement initiatives.

Key Highlights
Lead data-driven improvements in chemical manufacturing processes
Analyze manufacturing processes to identify opportunities for efficiency gains and cost savings
Develop and implement predictive models for material usage and production optimization
Technical Skills Required
Python R SQL REST APIs Generative AI LLMs (OpenAI, Meta, Google) RAG Prompt Engineering
Benefits & Perks
$75-90/hr on W2
100% Remote + some Travel
Health insurance plan
Retirement plan
Paid sick leave eligibility

Job Description


Apply now: Data Scientist – Chemical Manufacturing, Remote + Travel). The start date is ASAP for this 1-year contract position.


Job Title: Data Scientist – 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
  • 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-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


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