We're looking for a talented Data Scientist who is great at both analyzing data and writing strong Python code. You'll play a key role in finding important insights in large datasets, creating engaging data charts, and also helping to build and improve the core Python tools and libraries. The data science team uses it every day. You'll work closely with experienced data scientists, helping them understand complex data, share findings clearly, and make the analytical codebase even better.
Job listings
Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation.