Note: The job is a remote job and is open to candidates in USA. General Motors is redefining mobility through innovative vehicle design and technology. The Staff Product Data Scientist for Vehicle Analytics & Insights will play a crucial role in shaping product analytics standards and metrics, leveraging vehicle data to inform product decisions and enhance user experience.
Responsibilities
- Define, standardize, and evolve product success metrics and KPI frameworks across in‑vehicle experiences, ensuring consistency, clarity, and alignment to customer value and business outcomes
- Lead the product 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 are maintained
- Act as a thought partner to product teams to proactively identify opportunities and inform prioritization and product strategy, rather than responding to ad hoc requests
- Perform deep-dive analyses to understand customer journeys, engagement patterns, friction points, and value moments across in-vehicle experiences, translating complex behavioral data into clear, actionable insights
- Design, build, and own dashboards and self-serve analytics that enable product teams and leaders to continuously monitor product performance, adoption, and health
- Frame complex analytical findings into clear decision narratives, explicitly surfacing tradeoffs, risks, and opportunities to influence product strategy and prioritization
- Set best practices for experimentation and causal inference in environments where traditional A/B testing may be constrained, applying statistical rigor and sound judgment to real‑world product decisions
- Help establish the foundational product analytics practices for the Vehicle Product organization that will scale as the team grows
- Act as a force multiplier for analytics capability, mentoring analysts and product partners, raising data literacy, and enabling teams to increasingly self‑serve insights while maintaining high analytical standards
Skills
- 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, validate data, and diagnose data quality issues in complex, evolving data ecosystems
- Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation
- Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth
- Hands-on experience with data 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
- Experience designing and analyzing experiments or feature rollouts, including an understanding (and/or application) of causal inference and real-world constraints
- Track record of driving impact beyond a single team or product, influencing how multiple teams approach measurement, decision‑making, or experimentation
- Comfortable working in ambiguous, early-stage environments, where processes are still being defined and impact comes from building the foundation as much as delivering immediate insights
Benefits
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- GM offers a variety of health and wellbeing benefit programs.
- Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more
- Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate.
- Program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
- 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}.
Company Overview