Senior Data Scientist

Wayve

. Partner with one or more engineering teams to develop actionable insights guiding improvements to the Wayve AI Driver .

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 expertise in data science with a strong foundation in statistical analysis, experimental design, and machine learning. Proficient in SQL and statistical scripting languages, capable of transforming data into actionable insights while collaborating effectively across teams.

Highest-signal resume keywords

Data Science ExperienceSQL ProficiencyExperimental DesignMachine Learning ExpertiseStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationStatistical FoundationsA/B TestingHypothesis TestingCausal InferenceBayesian MethodologiesLarge Dataset ManagementDistributed ComputingMachine LearningPerformance Metrics

Soft Skills

CommunicationCollaborationCuriosityInfluencingCritical Thinking

Tools & Technologies

PythonRPandasSklearnStatsmodelsScipyDplyrCaretPyTorchSpark

Industry Keywords

Artificial IntelligenceAutonomous VehiclesExperimental Best PracticesFast-Moving TechnologyStartup Environment

Tech Stack

Tools & technologies

HadoopPandasPythonPyTorchScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Partner with one or more engineering teams to develop actionable insights guiding improvements to the Wayve AI Driver
Conduct experimental and observational analyses of real and simulated driving
Turn data into clear, practical direction with engineering and cross-functional partners
Help teams understand performance, validate product requirements and prioritise opportunities
Formulate and iterate on performance metrics that organise engineering efforts and guide progress toward commercial success
Design experiments and targeted off-road measurements to ensure customer product requirements while maintaining safety and performance
Investigate model-training and inference factors that create functionality and performance bottlenecks
Identify, test and validate hypotheses that can unlock improvements to the Wayve AI Driver
Summarise, visualise and communicate findings to support prioritisation and strategy
Work asynchronously across time zones and influence team direction through evidence

Requirements

What you’ll need

3+ years of experience in a Data Science role
Fluent in querying and building large datasets, including writing production-level SQL for data-transformation pipelines
Experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics
Strong statistical foundations, including selecting appropriate distributions and testing assumptions behind frequentist statistics
Proficient in a statistical scripting language and data science or machine-learning packages, such as Python with pandas, sklearn, statsmodels or scipy, or R with dplyr, caret or stats
Skilled at summarising, visualising and communicating findings in an accessible and compelling way
Experience influencing team direction through findings and driving prioritisation and strategy through actionable insight
Comfortable working asynchronously across time zones with cross-functional partners
Deep curiosity about building something new and excitement about defining AV2.0
Practical machine-learning experience, for example with PyTorch, and passion for taking research ideas to production
Track record of promoting statistical rigour and experimental best practices
Experience with causal inference, econometric techniques or Bayesian methodologies for hypothesis testing
Experience working with large datasets and distributed computing technologies, such as Spark, Hadoop or other map-reduce tools
Experience working in a fast-moving technology company or startup

Benefits

Comp & perks

Salaries benchmarked against the market annually
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