Data Scientist
Core
Develop battery-health algorithms using real-time vehicle data and strengthen manufacturing quality processes using machine-level data.
Role type
Senior IC data scientist (battery health & manufacturing optimization)
Builds
Battery health assessment models, manufacturing optimization models, and monitoring systems for data streams.
Domain
Automotive (Heavy Duty & Auto) + Manufacturing + IoT
Deliverable
production ML models
Required skills
Statistical analysis, machine learning, Python, SQL, data visualization, model deployment, hypothesis testing, time-series analysis
Preferred skills
Deep learning, big data technologies (Databricks, Spark), cloud platforms (Azure, AWS), production ML deployment, causal inference, manufacturing/IoT domain knowledge
Technologies
Python, Julia, R, Scikit-Learn, SciPy, Statsmodels, PyTorch, Keras, Power BI, Tableau, Azure ML, Docker, Kubernetes, Stan, PyMC
Responsibilities
Build data-analysis pipelines to understand vehicle and machine signals; develop and maintain models for battery health assessments; build models to increase production throughput and reduce scrap rates; collaborate with engineers and stakeholders to craft data-driven solutions.
Seniority
Senior, hands-on IC