Computational Scientist

About the role

Experience applying modeling to product development, formulation optimization, and performance prediction. Solid understanding of experimental data (lab, pilot, and field) and how to incorporate it into predictive models. Proficiency in Python or other programing languages for data analysis, modeling, and automation.

What you'll do

• Develop and apply hybrid models that combine first-principles understanding (chemistry, materials behavior) with data-driven methods to accelerate product development
• Analyze experimental and field data to uncover relationships between formulation, processing conditions, and product performance
• Product stability and robustness
• Design and support experiments (DOE) to efficiently generate data for model development and validation
• Collaborate closely with R&D scientists, chemists, and product developers to guide formulation strategies and decision-making

What you need

• 3–6 yrs of experience
• Machine learning
• Python
• Chemistry
• Data analysis
• B.Tech or B.E. or PhD

Good to have

• SQL
• AWS
• Databricks
• Snowflake
• Azure