Senior Product Data Scientist, Vehicle Analytics & Insights

Job Description

The Role

We are building a new Vehicle Analytics & Insights team within GM's Vehicle Product organization, and this role is an early hire on that team. As a Senior Product Data Scientist, you will help product teams make better decisions through clear metrics, trusted data, and actionable insights about how customers use and experience GM's in-vehicle products.

You will work at the intersection of vehicle data, product strategy, and user behavior. In this role, you'll partner closely with product managers, engineers, and designers to advise on product success metrics, improve instrumentation, analyze customer behavior, and translate data into insights that shape product decisions.

This is a strong fit for someone who wants to be a hands-on senior individual contributor: someone who can independently own analytics for a product pillar, initially focusing on the highest-priority products within that pillar, influence roadmaps through data, and help build strong analytical habits within a growing team.

What You'll Do:

• Own product analytics for a vehicle product pillar, becoming a trusted partner to product, engineering, anddesignacrossa portfolio of related experiences, withinitialfocus on the highest-priority products.

• Advise and consult with product teams as they define product success metrics, KPI frameworks, and analytical approaches that connect customer behavior to product and business outcomes.

• Partner with Product and Engineering to shape instrumentation requirements, clarify what data should be captured, and help ensureimplementationquality and consistency.

• Conduct deep-dive analyses on customer journeys, engagement patterns, friction points, and feature adoption; turn complex behavioral data into clear findings and recommendations.

• Build andmaintaindashboards, recurring reporting, and self-serve analyses that help teamsmonitorproduct performance and make faster decisions.

• Frame analytical findings into clear decision narratives, including tradeoffs, risks, and opportunities, for both technical and non-technical audiences.

• Support experimentation, feature evaluations, and rollout measurement using sound statistical judgment.

• Help improve data quality and analytical trust byidentifyinginstrumentation gaps,validatingcore datasets, and partnering with teams to resolve issues.

Your Skills & Abilities (Required Qualifications):

• Master's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or equivalent practical experience.

• 5+ years of experience in data science, analytics, or product analytics, ideally supporting software, digital, or user-facing products.

• Strong SQL skills and a demonstrated ability to define trusted metrics,validatedata, and diagnose data quality issues in complex data environments.

• Strong experience using Python or a similar language for exploratory analysis, statistical analysis, experimentation, and workflow automation.

• Experience performing product-focused analyses that influence roadmap, prioritization, feature design, or launch decisions.

• Strong written and verbal communication skills, with the ability to work effectively across Product, Engineering, Design, and leadership stakeholders.

What Will Give You a Competitive Edge (Preferred Qualifications):

• Experience in product analytics or product data science for consumer software, platform products, connected devices, orautomotive software.

• Experience designing or evaluating experiments, feature rollouts, or other product measurement approaches in real-world settings.

• Experience working with event-based instrumentation, behavioral data, and customer journey analytics.

• Comfortoperatingin ambiguous, early-stage environments where processes are still being defined.

• Experience with causal inference is a plus.

Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is 106,600 and 192,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

• Benefits: 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

#LI-RF1

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

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}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

About GM

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Why Join Us

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .

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