Computational Scientist
Core
Develop hybrid models combining first-principles chemistry/materials knowledge with data-driven methods to accelerate product formulation, performance prediction, and stability analysis.
Role type
Senior IC computational scientist (hybrid modeling)
Builds
Predictive models for formulation optimization, performance prediction, and product stability (via careerplan.io/jobs/1435638000-computational-scientist-at-exxonmobil)
Domain
Chemical engineering / Materials science / Product development
Deliverable
production ML models
Required skills
Hybrid modeling, First-principles understanding (chemistry/materials), Statistical modeling, Machine learning, Python, Experimental data analysis, DOE design, Model validation, Uncertainty quantification
Preferred skills
Formulation modeling, Property prediction, Time-series analysis, SQL, Cloud data platforms (Databricks, Azure, AWS, Snowflake)
Technologies
Python, SQL, Databricks, Azure, AWS, Snowflake
Responsibilities
Develop and apply hybrid models to accelerate product development; Analyze experimental and field data to uncover formulation-performance relationships; Design and support experiments (DOE) for model validation; Collaborate with R&D scientists and chemists to guide formulation strategies; Develop data-driven insights and digital tools to reduce development cycle time; Ensure model validity through validation and uncertainty quantification; Document methodologies and modeling workflows.
Seniority
Senior, hands-on IC
