Responsibilities
- Lead ML model development for prediction and optimization across chemistry, formulation, property, and process
- Collaborate with R&D and manufacturing on problem framing
- Curate and analyze chemical and experimental data
- Develop and select input representations for raw materials, chemistry, and signal data
- Select, train, and evaluate models across families such as regression, tree ensembles, Gaussian processes, neural networks
- Quantify and calibrate model performance and uncertainty
Requirements
- Bachelor’s degree in Computer Science, Data Science, Computational Chemistry, Cheminformatics, or a related field
- 5+ years experience
- Strong Python skills
- Experience in applied statistics and uncertainty quantification
- Domain knowledge in chemistry, preferably polymer chemistry
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