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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** WAYVE LLC - **Location:** Sunnyvale, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Data Analysis, Big Data, Python (Programming Language), SQL Databases, Systems Integration, Data Analytics, Machine Learning Operations - **Published:** September 26, 2026 - **Apply:** https://www.thejobnetwork.com/job/ba5138c4-bc3e-4408-a099-2065ee5cfeec/senior-data-scientist ## About the Role - Strong analytical and investigative skills - you're comfortable going from a vague "something looks off" to a clear, evidence-backed conclusion - Hands-on experience working with ML evaluation data, driving performance metrics, or complex test results at scale, including statistical methods for A/B testing and experimentation (e.g., confidence intervals, distributions, and sampling) - Proficiency in Python or SQL; comfortable querying and analysing large datasets - Ability to operate with autonomy in a fast-moving environment - you can set your own priorities within a broader goal, and know when to fix something yourself vs. when to escalate or partner - Clear written communication - you turn messy investigations into concise, actionable recommendations for technical and non-technical audiences - Genuine curiosity about _why_ a model behaves the way it does, and _whether_ we're measuring the right things Desirable - Experience in autonomous driving, robotics, or safety-critical ML systems - Familiarity with simulation-based testing, on-road experiment analysis, or statistical methods for comparing model behaviour - Experience working across product, safety, and engineering teams to define what "good" looks like - Exposure to OEM or partner validation workflows - Experience improving evaluation infrastructure or measurement methodology ## Description Wayve ships a new driving model baseline every week. The Model Integration & Release team runs simulation and on-road testing to decide whether candidates are ready to promote - and there is a significant opportunity to get more from the data we already collect. As our release process matures, the next step is building a deeper analytical layer: strengthening how we measure performance, turning on-road findings into better simulation tests, and aligning what we measure with what operators experience in the vehicle. This is a senior, high-impact role on the Model Integration & Release team. You'll own that analytical layer - turning evaluation outputs into findings that improve both our models and how we measure them. You'll work across simulation, on-road experiment data, and our internal evaluation tooling, partnering with Validation, Data Science, and Product. You'll have the autonomy and scope to improve how we evaluate - from identifying gaps in our measurement approach through to implementing changes that make our release decisions more confident and our feedback loops faster. **Key Responsibilities** - Shape how we learn from evaluation data - define what "going deeper" means in practice, and build the habits, tooling, and workflows that make it part of how we release models - Improve how we measure driving performance - identify blind spots, inconsistencies, and gaps in our simulation and offline metrics; drive improvements to our evaluation methods, suites, and scoring logic - Close the loop between on-road testing and offline evaluation - investigate what happens on-vehicle during release testing, determine whether our offline tests should have caught it, and turn those findings into concrete improvements to coverage and measurement - Perform day-to-day experiment analysis and apply statistical rigor to evaluation data to provide confident, data-driven promotion recommendations for new driving models - Expand what "good" means beyond intervention rates - develop and apply a richer view of model quality using the behavioural and operational signals we already collect - Partner with Data Science and Validation on how we define, implement, and maintain evaluation methods and ground truth - Support partner-facing quality investigations - help quantify and track issues raised through OEM QA workflows so they can be addressed within our release process - Turn investigations into durable improvements - document findings and recommendations in a way the team can act on within a weekly release cadence, and follow through so the same class of issue doesn't recur ## **About you** In order to set you up for success as a Senior Data Scientist at Wayve, we're looking for the following skills and experience. 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