Senior Data Scientist, AV and ADAS Insights
Job Location:
Sunnyvale, CA - USA
Yearly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Description
The Role
General Motors is building the next generation of software-defined vehicles and advanced driver-assistance experiences. The success of these products depends on understanding how they perform in the real world how customers experience them and where product and engineering investment will create the greatest benefit.
As aSeniorData ScientistSuper Cruise (SC)andAssisted Driving and Active Safety (ADAS)Insights you will be a hands-on technical and strategic partner to Product Management Systems Engineering Data Engineering Safety and Program teams. You will turn complex vehicle telemetry retail-fleet data engineering data and customer-behavior signals into trusted metrics actionable insights and clear recommendations that shape product strategy and prioritization.
You will help product teams understand feature availability usageevaluate feature availabilityutilization safety performance reliability customer acceptance and trust-related behaviors across Super Cruise advanced autonomyproductsand ADAS products.
This is a senior individual-contributor role for someone who can independently frame ambiguous problems develop rigorous analyses influence decisions without formal authority andestablishanalytical practices that scale across the organization.
WhatYoullDo
Partner with Product Management to translate product questions into analyses that inform strategy roadmaps requirements prioritization investments and launch decisions.
Define andmaintaintrusted KPI frameworks forAVSuper Cruise and ADAS including metric definitions assumptions data lineage limitations baselines thresholds andappropriate useof engineering and retail-fleet data.
Evaluate product performance across availability usage effectiveness customer value and experienceidentifyingdrivers tradeoffs risks opportunities regressions and regional or population-level differences.
Build integrated datasets models dashboards scorecards recurring reports and self-service tools that connect vehicle driver safety-event trip crash and operating-context data to support ongoing monitoring and action.
Investigate unexpected trends and data-quality issues partnering with engineering and data teams to address gaps in signals triggers decoding sampling instrumentation and data availability.
Apply sound statistical and causal-inference methods to vehicle data evaluations feature rollouts and constrained experiments and communicate findings and recommendations effectively across technical teams cross-functional forums and senior leadership.
HowYoullMake an Impact
Product teams use a common trusted view ofperformance rather than disconnected or conflicting analyses.
Retail-fleet data becomes a practical input to product strategy release decisions regional expansion and engineering prioritization.
High-value customer and safety problems are quantified ranked and connected to specific product or engineering actions.
Product teams can distinguish true performance changes from changes in data coverage instrumentation fleet mix software releases or analytical definitions.
New metrics and data use cases are developed withappropriate privacyaccess-control regulatory and data-retention considerations.
Decision-makersreceive clear narratives that explain what changed why it matters what is uncertain and what should happen next.
Your Skills & Abilities (Required Qualifications)
Bachelors degree in Data Science Statistics Mathematics Computer Science Engineering Economics or a related quantitative discipline or equivalent practical experience. A masters degree is preferred.
5or more years of experience in data science product analytics applied statistics or a closely related field.
Expert-level SQL skills and strong experience working with large complex evolving data environments.
Strong Python skills for data preparation exploratory analysis statistical analysis visualization automation and reproducible analytical workflows.
Demonstrated experience defining metricsvalidatingdatasetsidentifyingdata-quality issues and explaining analytical limitations.
Experience using observational data to evaluate product performance customer behavior feature adoption reliability safety or operational outcomes.
Demonstrated ability to translate ambiguous product or business questions into rigorous analysis and actionable recommendations.
Experience influencing product roadmaps prioritization investment decisions launch decisions or requirements through data and analysis.
Strong written and verbal communication skills including the ability to explain technical concepts and uncertainty to non-technical stakeholders.
Ability tooperatewith substantial autonomy exercise sound judgment and deliver results across multiple teams without direct reporting authority.
What Will Give You a Competitive Edge (Preferred Qualifications)
Experience working with automotive connected-vehicle ADAS autonomous-driving robotics mobility or other safety-critical products including vehicle telemetry sensor and fleet data operational statistics event recording and driver-assistance systems such as Super Cruise.
Experience with Databricks Spark Azure GCP Power BI Tableau Looker or comparable data and visualization platforms.
Experience with metric catalogs data contracts data governance instrumentation strategy data sampling human labeling or analytical quality standards.
Experience with causal inference quasi-experimental methods rollout analysis survival or reliability analysis hierarchical modeling or other methods appropriate for real-world product data.
Experience working with privacy legal regulatory or data-access constraints in the development of customer or vehicle-data use cases.
What Success Looks Like in the First 12 Months
Establish a trusted analytical partnership with SC Product Management and Systems Engineering.
Deliver a prioritized set of SC performance insights that directlyinformsroadmap or investment decisions.
Improve the definition validation or usability of key SC topline and trust-eroding-behaviormetrics.
Establish repeatable release-over-release and retail-fleet performance analyses for agreed priority metrics.
Contribute analytical evidence to at least one launch regional expansion or majorsoftware-releasedecision.
Identifymaterial gaps in data instrumentation sampling or metric quality and drive practical resolutions with partner teams.
Create reusable analytical assets that reduce ad hoc work and improve product-team self-service.
Extend the approach to one or more Active Safety or Assisted Driving use cases.
Hybrid:This role is categorized ashybrid. This means the successful candidate is expected to report to theSunnyvale CA or Mountain View CA office three times per week at minimum.
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 compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $106600 to $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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Required Experience:
Senior IC
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