Staff Data Scientist

Wayve; Sunnyvale (CA); On-site; USD 276,000 - 311,000; Full time

Job summary

Wayve in Sunnyvale, CA is seeking a Data Scientist to partner with AI engineers, shaping metrics, experiments and analyses to guide the Wayve AI Driver improvements. The role blends data science, experimentation and communication to influence product and safety outcomes.

You will design and evaluate real-world and off-road experiments, synthesize findings for cross-functional teams, and push for actionable insights across time zones.

Qualifications

• 3+ years experience in a Data Science role.
• Fluent in querying and building large datasets, writing production-level SQL for data-transformation pipelines.
• Experience designing robust real-world experiments (e.g. A/B) and evaluating test-statistics.
• Foundations in statistics: testing distributions and frequentist assumptions.
• Proficient in Python or R with data-science packages (pandas, sklearn, statsmodels, scipy; or dplyr, caret, stats).
• Strong in summarising and communicating findings clearly.
• Track record of influencing team direction through findings.
• Bias towards actionable insights for prioritisation and strategy.
• Comfortable working asynchronously across time zones.

Responsibilities

• Formulate and iterate performance metrics to guide engineering progress.
• Design experiments and off-road measurements to meet product requirements while ensuring safety and performance.
• Investigate model training and inference bottlenecks and validate hypotheses for improvements.

Skills

SQL pipelines

A/B testing

Statistics fundamentals

Python / data stack

Data storytelling

Cross-functional collaboration

Experiment design

Communication of findings

Tools

Python data science stack

Job description

As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.

This means you might:

• Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success

• Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance

• Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements

What we are looking for in our candidate

Essential

• 3+ years experience working in a Data Science role.

• Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.

• Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics

• Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats

• Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)

• Well-versed in summarising, visualising and communicating findings in an accessible and compelling way

• Track record of influencing team direction through your findings

• A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.

• Comfortable working asynchronously across time zones with cross-functional partners

• You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.

Desired

• Practical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.

• Track record of promoting statistical rigour and experimental best practices in your prior roles.

• Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.

• Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)

• Experience working in a fast-moving tech company or startup.

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $276,100 to 311,400, plus a competitive equity package. Actual compensation is based on the candidate’s skills, qualifications, and experience. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.