Senior Data Scientist

Wayve

. Lead analysis of model and autonomous-vehicle performance data from simulations, offline evaluation, and on-road testing .

Posted 11/9/2026full-timeSunnyvale • California • United StatesSenior💰 $209,700 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills and hands-on experience with ML evaluation data and driving-performance metrics. Proficient in Python or SQL for querying large datasets and applying statistical methods for experimentation and analysis.

Highest-signal resume keywords

ML Evaluation Data AnalysisStatistical Methods for A/B TestingPython or SQL ProficiencyAutonomous Driving ExperienceClear Written Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodsA/B TestingDriving-Performance MetricsExperiment AnalysisData AnalysisSimulation-Based TestingPerformance Data InvestigationTest Coverage ImprovementScoring Logic EnhancementOperational Signals Evaluation

Soft Skills

Analytical SkillsInvestigative SkillsAutonomous OperationConcise CommunicationActionable Recommendations

Industry Keywords

Autonomous DrivingRoboticsSafety-Critical ML SystemsOEM Validation WorkflowsEvaluation InfrastructureMeasurement Methodology

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead analysis of model and autonomous-vehicle performance data from simulations, offline evaluation, and on-road testing
Translate complex signals into clear recommendations for engineering teams
Investigate performance issues and identify improvements to metrics, test coverage, and scoring logic
Define deeper analysis practices and build supporting habits, tooling, and workflows
Identify blind spots, inconsistencies, and gaps in simulation and offline metrics
Investigate on-road release-test findings and improve offline evaluation coverage and measurement
Perform experiment analysis and apply statistical methods to recommend promotion of new driving models
Expand driving-quality evaluation beyond intervention rates using behavioural and operational signals
Partner with Data Science and Validation on evaluation methods and ground truth
Support partner-facing quality investigations through OEM QA workflows
Document findings and recommendations and follow through on durable improvements

Requirements

What you’ll need

Strong analytical and investigative skills
Hands-on experience working with ML evaluation data, driving-performance metrics, or complex test results at scale
Experience applying statistical methods for A/B testing and experimentation, including confidence intervals, distributions, and sampling
Proficient in Python or SQL and comfortable querying and analysing large datasets
Ability to operate autonomously in a fast-moving environment
Clear written communication and ability to turn investigations into concise, actionable recommendations for technical and non-technical audiences
Experience in autonomous driving, robotics, safety-critical ML systems, simulation-based testing, on-road experiment analysis, OEM or partner validation workflows, or improving evaluation infrastructure and measurement methodology would be beneficial

Benefits

Comp & perks

Meaningful equity, sharing in the ownership and long term success of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
Learning and development budgets with support for training, conferences and growth
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more