Staff Data Scientist

### Who you are
- The ideal candidate brings a hybrid of statistical rigor and engineering mindset to drive clarity from ambiguity, establish new processes, and propel the team forward
- MS or PhD in Statistics, Computer Science, Machine Learning, Applied Mathematics, or related quantitative field
- Proficiency in Python and SQL with experience in production-quality code
- Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis
- Experience with large-scale data analysis and statistical modeling
- Proficiency with Git, unit testing, and collaborative development practices
- Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
- Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
- Experience with designing metrics and delivering actionable insights that drive business decisions

### What the job involves
- Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities
- We are seeking a Staff Data Scientist to join a verification and validation team that evaluates safety-critical AI systems
- You will join a team of software and data engineers that leverage methods including log data analysis, simulation, and closed-course structured testing
- You'll work cross-functionally with AI software, System Design and Mission Assurance, Simulation, Sensors, and other teams to develop, execute, and iterate on validation methods and pipelines
- These pipelines evaluate safety-critical systems, are highly visible, and are an important critical path element of launching our service
- Design Evaluation Frameworks: Architect statistical methodologies for safety-critical AI systems to form objective, rigorous conclusions about their performance and reliability
- Conduct Robust Analysis: Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures
- Inform Strategy: Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions
- Define Metrics: Drive alignment across engineering teams on performance metrics and data extraction strategies
- Lead the Lifecycle: Manage all phases of evaluation including prototyping, requirements capture, design, implementation, and validation
- Scale Pipelines: Partner with engineers to build and maintain scalable data processing and simulation pipelines, applying distributed computing to analyze petabytes of driving data

### Benefits
- Paid parental leave
- Affinity groups and sports clubs
- Work from home opportunities
- Health insurance
- Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
- We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
- We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
- There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description