Senior Product Data Scientist, Vehicle Analytics & Insights
Job Location:
Mountain View, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Job Description
The Role
We are building a new Vehicle Analytics & Insights team within GMs 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 GMs in-vehicle products.
You will work at the intersection of vehicle data product strategy and user this roleyoullpartner 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.
WhatYoullDo:
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 gapsvalidatingcore datasets and partnering with teams to resolve issues.
Your Skills & Abilities (Required Qualifications):
Masters 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 metricsvalidatedata 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 withcausal 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 106600 and 192700. 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
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About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
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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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Required Experience:
Senior IC
About Company
GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.
