Senior Systems Data Scientist, Behavior Validation

General Motors; Sunnyvale (CA); Hybrid; USD 148,000 - 226,000; Full time

Benefits offered by this job

Health benefits

401(k) retirement plan

GM vehicle discounts

Job summary

General Motors in Sunnyvale, CA is seeking a Senior Systems Data Scientist to establish pragmatic, data-backed methodologies for measuring trust in AV behavior validation across simulation and road testing.

You will design frameworks that correlate simulation and real-world outcomes, and create production-ready analysis pipelines to inform AV launches and releases.

Qualifications

• Advanced degree in a relevant field and 5+ years in data science or analytics.
• Experience in safety-critical or complex systems domains is preferred.
• Strong background in simulation-to-road correlation, statistical modeling, and confidence estimation.
• Proficient in Python, SQL and data visualization tools; able to translate insights to actions.
• Ability to simplify complex analytics for production environments and communicate clearly.

Responsibilities

• Develop data-driven methodologies to measure trust and confidence in AV behavior validation.
• Establish correlation frameworks between simulation and road-based validation outcomes.
• Simplify statistical methods into production-ready frameworks for AV analysis.
• Design scalable analysis pipelines supporting release decisions and AV launch readiness.
• Collaborate with systems engineers, safety stakeholders, and AI developers to define metrics.
• Provide actionable insights through visualization and reporting tools for decision-making.

Skills

Python

SQL

Data Visualization

Education

Advanced degree in Data Science, Computer Science, Engineering, or related fields

Tools

Jupyter

Looker

Tableau

Job description

Job Description

Hybrid: This role is categorized as hybrid/remote

Role

As a Senior Systems Data Scientist on the Behavior Validation team within the Autonomous Vehicle (AV) organization, you will play a pivotal role inestablishingpragmatic, data-backed methodologies for measuring trust and confidence in AV behavior validation results across both simulation and real-world road testing. Yourexpertisein data science and engineering will enable you to design and implement frameworks that correlate simulation and road-based outcomes, simplify complex analytical methods, and support production-ready analysis pipelines that inform AV launch and release decisions.

You will collaborate with cross-functional teams—including systems engineers, safety stakeholders, and AI developers—to define confidence metrics, create scalable validation strategies, and ensure that AV behavior meets rigorous safety and performance standards.

About the Organization

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles throughcutting-edgesimulation technologies and robust validation processes. The Behavior Validation team focuses on enabling software launches and continuous release decisions through data-driven verification and validation strategies. Our collaborative environment fosters innovation and excellence, allowing us to push the boundaries of what is possible in AV testing.

What You’ll Do

• Develop and operationalize data-driven methodologies for measuring trust and confidence in AV behavior validation results.
• Establish correlation frameworks between simulation-based and road-based validation outcomes to ensure consistency and reliability.
• Simplify complex statistical and analytical methods into production-ready frameworks for AV behavior analysis.
• Design and implement scalable analysis pipelines that support continuous release decisions and AV launch readiness.
• Collaborate with engineering, safety, and AI teams to define confidence metrics and validation protocols.
• Provide actionable insights through data visualization and reporting tools to inform decision-making for AV behavior validation.

Your Skills & Abilities

• Advanced degree in Data Science, Computer Science, Engineering, or related fields.
• 5+ years of experience in data science and analytics, preferably in safety-critical or complex systems domains.
• Strong background in simulation-to-road correlation, statistical modeling, and confidence estimation.
• Proficiencyin Python, SQL, and data visualization tools (e.g.,Jupyter, Looker, Tableau).
• Ability to simplify complex analytical methods into practical frameworks for production environments.
• Excellent communication skills, capable of translating technical insights into clear, actionable recommendations.

What Will Give You a Competitive Edge

• Experience in autonomous vehicle development, ADAS systems, or robotics.
• Familiarity with simulation environments and large-scale data analysis.
• Proven ability to design confidence metrics and validation strategies for safety-critical systems.
• Experience building dashboards and visualization tools for decision-making.
• Strongtrack recordof cross-functional collaboration in high-stakesengineering environments.

Compensation:

• The expected base compensation for this role is: $148,000 - $226,200. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions, if applicable. Bonus Potential:An incentive pay program offers payouts based on company performance, job level, and individual performance.
  

Benefits:

• 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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