Amazon

Senior Data Scientist - Verification & Validation

Foster City, CA

Pay: USD 209,000–285,000/year — pay source
Salary 209,000 – 285,000 USD per year Employment type
Read the full posting
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

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What you’ll work on

Full posting

Design statistical methods to evaluate safety-critical AI system performance
Analyze validation evidence and find edge-case failures
Give data-driven insights to development teams and executive leadership for go/no-go decisions
Build and maintain scalable data processing and simulation pipelines
Align engineering teams on performance metrics and data extraction strategies

From the employer’s posting

Architect statistical methodologies for safety-critical AI systems

Deliver validation evidence to support increasingly complex operations and identify potential edge-case failures.

Deliver clear, data-driven insights to development teams to guide system improvement, and to executive leadership to inform milestone-level go/no-go decisions.

Partner with engineers to build and maintain scalable data processing and simulation pipelines

Drive alignment across engineering teams on performance metrics and data extraction strategies.

What you’ll bring

All qualifications

Core experience

Proficiency in Python and SQL with experience in production-quality code
Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines
Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.
Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks
Experience with large-scale data analysis and statistical modeling
Experience with designing metrics and delivering actionable insights that drive business decisions

Qualification wording

Proficiency in Python and SQL with experience in production-quality code

Hands-on experience with production machine learning pipelines: dataset creation, training frameworks, metrics pipelines

Demonstrated expertise in statistical methodologies including hypothesis testing, power analysis, spatiotemporal modeling, Bayesian inference, and multivariate analysis.

Experience with modern data processing technologies such as Apache Spark, Spark SQL, and Databricks

Experience with large-scale data analysis and statistical modeling

Experience with designing metrics and delivering actionable insights that drive business decisions

Education & alternatives

Qualifications: - 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

Tools in this posting

Python
SQL
Databricks
Spark

Source

- 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.

- 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

Posting record

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Open 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 14, 2026 · 198 days ago
Recorded sightings: 321
Last seen by us: Oct 30, 2026
Employer says posted: Mar 27, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior 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. 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. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects.

In this role, you will:

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.

Qualifications:

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

Bonus Qualifications:

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

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

Salary

209,000 – 285,000 USD per year

Employment type

Full-time

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: Salary 209,000 – 285,000 USD per year Employment type
Location & working pattern: Foster City, CA
Zoox is on an ambitious journey to develop a full-stack autonomous vehicle system for cities. We are seeking a Senior 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. 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. This is a deeply technical and hands-on role where you will be expected to be a self-sufficient builder and coder, not just a manager of projects. In this role, you will:
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.lever.co ↗Read the full description ↓

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