Senior Data Scientist, Systems Performance

Motional

Senior Data Scientist developing evaluation frameworks for autonomous systems at Motional. Collaborating with cross-functional teams to enhance evaluation methodologies and ensure data integrity and safety metrics.

Posted 7/2/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $149,000 - $198,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing evaluation frameworks for autonomous systems, utilizing strong Python and SQL skills, and applying advanced statistical and machine learning methods to analyze performance data. Proven ability to mentor engineers and collaborate effectively across teams to drive data-driven insights and project outcomes.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyStatistical AnalysisMachine Learning MethodsData-Driven Insights

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisHypothesis TestingCausal AnalysisPerformance AnalysisData-Backed Statistical Methods

Soft Skills

Problem-Solving SkillsCommunication SkillsInterpersonal Skills

Industry Keywords

Autonomous SystemsEvaluation FrameworksReliability MonitoringData CorrelationSimulation Data

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the development of evaluation frameworks for the autonomous system
Collaborate closely with Functional Safety and Systems Engineering teams
Monitor the reliability of evaluation metrics and performance data
Drive our approach to performance analysis using data-backed statistical methods
Build confidence in the evaluation framework through data-driven insights
Establish correlation between on-road and simulation data
Establish a self-service model for developers
Mentor and collaborate with fellow engineers

Requirements

What you’ll need

5+ years of industry experience solving complex problems with large datasets
Bachelor's or higher degree in Computer Science, Computer Engineering, Data Science, Robotics, Physics, Mathematics, or related quantitative field. Master's or PhD preferred
Strong problem-solving skills
Strong Python and SQL skills
Experience applying advanced statistical and ML methods
Demonstrated experience with statistical analysis, hypothesis testing, and causal analysis
Demonstrated ability to work independently and drive projects from problem definition to actionable results
Proven communication and interpersonal skills

Benefits

Comp & perks

Medical
Dental
Vision
401k with a company match
Health saving accounts
Life insurance
Pet insurance
Flexible work arrangements