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Data Scientist

Corteva Agriscience

Salary not specified
Dec 15, 2025
Indianapolis, IN, US
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At Corteva Agriscience, the business problem is to apply artificial intelligence, machine learning, and statistical modeling to develop active bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.

Requirements

  • Strong foundation in machine learning, statistical modeling, and process control.
  • Proficiency in Python, R, or another programming language.
  • Familiarity with bioprocess workflows, fermentation, and downstream processing.
  • Hands-on experience with bioprocess optimization models and active process control strategies.
  • Experience with industrial data systems and cloud platforms.
  • Knowledge of reinforcement learning or adaptive experimentation for process improvement.

Responsibilities

  • Design and implement active process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and safety.
  • Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.
  • Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.
  • Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.
  • Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.
  • Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.
  • Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.

Other

  • M.S. + 3 years’ experience or Ph.D. in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.
  • Excellent communication and collaboration skills; ability to work in multidisciplinary teams.
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Health benefits for you and your family on your first day of employment
  • Future planning with our competitive retirement savings plan and tuition reimbursement program