Note: The job is a remote job and is open to candidates in USA. General Motors is an automotive company advancing autonomous vehicle development through simulation technologies and robust validation processes. The Senior Systems Data Scientist will develop data-driven methodologies, correlation frameworks, and scalable analysis pipelines to validate autonomous vehicle behavior across simulation and real-world testing. The role will collaborate with engineering, safety, and AI teams to define confidence metrics and inform launch and release decisions.
Responsibilities
- 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
Skills
- * 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
- * Proficiency in 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
- * 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
Benefits
- Hybrid/remote work arrangement
- An incentive pay program offers payouts based on company performance, job level, and individual performance.
- Medical benefits
- Dental benefits
- Vision benefits
- 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
Company Overview
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