Senior Systems Data Scientist, Behavior Validation

RTL2 Fernsehen GmbH & Co. KG

Sunnyvale (CA)

Hybrid

USD 148,000 - 226,200

Full time

14 days+

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Benefits offered by this job

Health programs
Retirement savings plan
Employee assistance program
Tuition assistance programs

Job summary

Israelvcforum is seeking a Senior Systems Data Scientist for the Behavior Validation team within the Autonomous Vehicle organization. This hybrid role involves designing data-backed methodologies for measuring trust in AV behavior validation.

Successful candidates will have an advanced degree, 4+ years in data science, and skills in Python, SQL, and visualization tools. The position offers a competitive salary and a range of health benefits.

Qualifications

  • 4+ years of experience in data science, preferably in safety-critical domains.
  • Excellent communication skills for technical insights.
  • Ability to simplify complex analytical methods.

Responsibilities

  • Develop and operationalize data-driven methodologies for AV behavior validation.
  • Establish correlation frameworks between simulation and road-based outcomes.
  • Collaborate with teams to define confidence metrics.

Skills

Data science and analytics
Simulation-to-road correlation
Statistical modeling
Python
SQL
Data visualization tools

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 in office.

Role

As a Senior Systems Data Scientist on the Behavior Validation team within the Autonomous Vehicle (AV) organization, you will play a pivotal role in establishing pragmatic, data-backed methodologies for measuring trust and confidence in AV behavior validation results across both simulation and real-world road testing. Your expertise in 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 through cutting-edge simulation 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.
  • 4+ 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.
  • Proficiency in Python, SQL, and data visualization tools (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.
  • Strong track record of cross-functional collaboration in high-stakes engineering 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.
  • 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.

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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