Senior Product Data Scientist, Vehicle Analytics & Insights - General Motors

Key Responsibilities

• Design and implement metrics, dashboards, and reporting pipelines that surface user behavior and product performance across vehicle infotainment and telematics systems.
• Develop and validate predictive and causal models (e.g., churn, usage patterns, feature adoption) to inform product roadmaps and feature prioritization.
• Partner with product managers, engineers, and UX researchers to translate business questions into analytical solutions and actionable insights.
• Conduct rigorous A/B tests and experimental analyses to evaluate new in‑vehicle features and user experiences.
• Ensure data quality, governance, and reproducibility by building robust data pipelines in SQL and cloud environments (AWS).

Requirements

• 5+ years of experience applying statistical modeling, machine learning, and experimental design to product or consumer data.
• Proficiency in Python (pandas, scikit‑learn, statsmodels) and SQL for data extraction, transformation, and analysis.
• Strong background in data visualization tools (e.g., Tableau, Power BI, Looker) and ability to communicate insights to non‑technical stakeholders.
• Experience working with large‑scale cloud data platforms (AWS S3, Redshift, Athena) and building reproducible analytics pipelines.
• Excellent problem‑solving skills, curiosity about user behavior, and a track record of influencing product strategy through data‑driven recommendations.