Staff Data Scientist - Verification & Validation
Company: Zoox
Location: Boston
Posted on: April 1, 2026
|
|
|
Job Description:
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.
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. 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 $256,000 -
$307,000 a year 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.
We may use artificial intelligence (AI) tools to support parts of
the hiring process, such as reviewing applications, analyzing
resumes, or assessing responses. These tools assist our recruitment
team but do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.
Keywords: Zoox, Quincy , Staff Data Scientist - Verification & Validation, Engineering , Boston, Massachusetts
