Applied ML Scientist - Chemistry

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 #J-18808-Ljbffr