Senior Data Scientist
Core
Build machine learning models to anticipate vehicle failures, score issue severity, and generate prioritized alerts for commercial fleet maintenance teams.
Role type
Senior individual-contributor machine learning engineer
Builds
Production ML models for failure prediction and vehicle health scoring
Domain
Automotive fleet management and predictive maintenance
Deliverable
production ML models
Required skills
Python, SQL, pandas, NumPy, scikit-learn, gradient-boosted trees (XGBoost, LightGBM), PyTorch, TensorFlow, time-series modeling, anomaly detection, model explainability (SHAP), cloud containerization
Preferred skills
Sensor/IoT/telematics data experience, failure prediction/reliability domain knowledge, ML infrastructure build experience, AI-assisted development tools
Technologies
Azure, PyTorch, TensorFlow, XGBoost, LightGBM, pandas, NumPy, scikit-learn
Responsibilities
Design, train, and validate ML models on fleet diagnostic and telematics data; own models from exploration through production including monitoring and retraining; engineer features from large, messy operational datasets; define optimization tradeoffs and instrument models for drift detection; explain model decisions to non-technical stakeholders; partner with engineering and product to integrate modeling capabilities into product features.
Seniority
Senior, hands-on individual contributor
