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Staff Product Data Scientist, Vehicle Analytics & Insights - General Motors
Data Scientist
Lead advanced analytics for vehicle data, driving product decisions with machine learning, deep learning, and computer vision. Own end‑to‑end data pipelines, model development, and insights delivery to shape next‑generation automotive experiences.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to extract actionable insights from vehicle telemetry, sensor, and user experience data.
- Build and maintain end‑to‑end data pipelines using SQL, Python, and big data technologies (Spark, Hadoop) to support real‑time analytics.
- Collaborate with cross‑functional product, engineering, and design teams to translate business requirements into data‑driven solutions.
- Conduct exploratory data analysis, feature engineering, and model validation to ensure high‑quality, reproducible results.
- Communicate findings through clear visualizations, dashboards, and technical documentation for stakeholders at all levels.
Requirements
- 10+ years of experience in data science or analytics within automotive or related high‑tech industry.
- Expertise in Python, SQL, and machine learning libraries (scikit‑learn, TensorFlow, PyTorch).
- Proven track record with deep learning and computer vision techniques applied to large sensor datasets.
- Strong background in big data platforms (Spark, Hadoop) and cloud services (AWS, Azure).
- Excellent communication skills and ability to influence product strategy through data insights.
Skills
pythonmachine learningdata analysissqldeep learningcomputer visionaws