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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Product Data Scientist, Vehicle Analytics & Insights - **Company:** General Motors - **Location:** Maine Prairie, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Power BI, Standard Sql, Usage Analysis, Information Technology, Looker Analytics, Databricks - **Published:** June 17, 2026 - **Apply:** https://dejobs.org/x/x/6810C0D3C34E43C3947873FC933490E8/job/ ## About the Role * Master's degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience). * 7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products. * Expert-level SQL skills, with a demonstrated ability to define trusted metrics,validatedata, and diagnose data quality issues in complex, evolving data ecosystems. * Strong experience usingPython (or similar languages)for exploratory analysis, statistical modeling, experimentation, and automation. * Demonstrated ability totranslate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth. * Hands-on experience withdata visualization and BI tools(e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading. * Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams. ## Description We are building a new Vehicle Analytics & Insights team within GM's Vehicle Product organization, and this role is a foundational hire. As a Staff Product Data Scientist , you'll help define how analytics informs product decisions for GM's vehicle experience. You'll work at the intersection of vehicle data, product strategy, and user behavior-turning complex telemetry and product signals into clear, actionable insights. Your work will help product teams move beyond intuition to a quantitative understanding of how customers use, adopt, and experience vehicle features at scale. You'll partner closely with product managers, engineers and designers and play an early role in shaping product analytics standards, metrics, and how insights are used across the organization. This role offers meaningful ownership and visibility, with the opportunity to shape how product analytics drives decisions and scales across GM as the capability grows. What You'll Do: * Define, standardize, and evolveproduct success metrics and KPI frameworksacross in-vehicle experiences, ensuring consistency, clarity, and alignment to customer value and business outcomes. * Lead theproduct analytics instrumentation strategy, partnering with Product and Engineering to define what data should be captured, how it should be implemented, and how quality and consistency aremaintained. * Act as a thought partner to product teams to proactivelyidentifyopportunities and inform prioritization and product strategy, rather than responding to ad hoc requests. * Perform deep-dive analyses to understandcustomer journeys, engagement patterns, friction points, and value momentsacross in-vehicle experiences, translating complex behavioral data into clear, actionable insights. * Design, build, and owndashboards and self-serve analyticsthat enable product teams and leaders to continuouslymonitorproduct performance, adoption, and health. * Frame complex analytical findings into clear decision narratives, explicitly surfacing tradeoffs, risks, and opportunities to influence product strategyand prioritization. * Set best practices for experimentation and causalinferencein environments where traditional A/B testing may be constrained, applying statistical rigor and sound judgment to real-world product decisions. * Helpestablishthe foundational product analytics practices for the VehicleProduct organizationthat will scale as the team grows. * Act as aforce multiplier for analytics capability, mentoringanalystsand product partners, raising data literacy, and enabling teams to increasingly self-serve insights whilemaintaininghigh analytical standards., This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)