Senior Data Scientist

Wayve; United States; Hybrid; USD 210,000 - 267,000; Full time

Benefits offered by this job

Equity package

Job summary

Wayve is seeking a Data Scientist to partner with AI engineers, analyzing real and simulated driving data to guide improvements to the Wayve AI Driver.

You will quantify performance, design experiments, and identify bottlenecks to advance safety and functionality, while influencing product strategy with actionable insights. This is a full-time hybrid role based in Sunnyvale, CA with a competitive equity package and flexible core hours.

Qualifications

• 3+ years in data science.
• Fluent in SQL for data pipelines.
• Experience designing robust experiments (A/B).
• Foundations in statistics and distribution testing.
• Proficient in Python (pandas, sklearn) or R (dplyr, caret).
• Ability to summarize findings clearly.
• Influence team direction with your insights.
• Bias toward actionable insights for prioritisation.
• Comfort with asynchronous collaboration across time zones.
• Curious about AV2.0 and building new solutions.

Responsibilities

• Formulate and iterate performance metrics guiding engineering progress toward commercial success.
• Design experiments and off-road measurements ensuring product requirements meet safety and performance.
• Investigate model training and inference factors to identify bottlenecks and validate hypotheses.

Skills

SQL

Python

R language

A/B testing

Statistics

Data visualization

Cross-functional communication

Experiment design

Data pipelines

Tools

Python

R

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 $209,700 to 266,800, 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.