Lead Data Scientist
Core
Design, build, and deploy custom neural networks and machine learning models for vehicle valuation, pricing, and risk decisions in the automotive industry.
Role type
Lead Data Scientist (hands-on IC with technical leadership)
Builds
Production ML systems for vehicle valuation, pricing, and risk analytics
Domain
Automotive technology, AI, and data analytics
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn), PyTorch or TensorFlow, machine learning, statistics, model evaluation, feature engineering, SQL, cloud deployment, automated retraining pipelines, experiment tracking
Preferred skills
MLOps tooling, automated data pipelines, mentoring, automotive industry experience, pricing/forecasting/risk modelling
Technologies
PyTorch, TensorFlow, pandas, NumPy, scikit-learn, SQL
Responsibilities
Own end-to-end lifecycle of production ML models, design and deploy neural networks, maintain model performance and reliability, develop automated retraining pipelines, monitor deployed models, run experiments to drive improvements, integrate models into production systems
Seniority
Senior, hands-on IC with technical leadership
