Staff Data Scientist - Behavior Evaluation
Hybrid Foster City Full-time Senior Data Science
At a glance
Senior Data Science role at Zoox. Foster City · full-time · $256,000–$307,000 base.
SalaryStated by Zoox
$256,000 – $307,000
Base salary for this role, in USD per year, as published in the posting.
This role, from ZooxOur estimate for the market: $194,220–$237,963Median $199,085
Above the market median of $199,085 for senior data science roles in Foster City.
Worked out from 8 postings that stated pay, median $199,085. Last updated Oct 15, 2026.
RoleData Science
SenioritySenior
LocationFoster City
WorkplaceHybrid
EmploymentFull-time
Base pay$256,000–$307,000
PostedMay 4, 2022 · 4y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Mine fleet and simulation data for insights that can guide decisions about the systems
- Build and assess methods for data preparation, feature creation, model training, and performance improvements
- Test model behavior and analyze results to check system safety and reliability
- Explain technical results and recommendations to technical and non-technical audiences
- Guide junior data scientists and engineers through mentoring and technical support
What you bring
- A master's or doctorate in a quantitative field, plus at least eight years working as a data scientist
- Strong Python skills, including scikit-learn and Pandas, along with SQL
- Broad machine learning experience covering deep learning, reinforcement learning, and statistical modeling
- Hands-on experience with large datasets and distributed platforms such as Spark or Hadoop
Who this fits
This staff-level role suits an experienced data scientist who can mentor junior colleagues and communicate findings to varied audiences. It is based in Foster City and listed as hybrid.
From the employer
We are seeking a highly skilled and experienced Staff Data Scientist to join our team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Staff Data Scientist, you will be responsible for tackling complex data challenges, driving innovation in machine learning and statistical modeling, and contributing to the advancement of our self-driving systems. You will work closely with a team of talented engineers and researchers in a fast-paced, collaborative environment.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
In this role, you will:
- Analyze large-scale datasets from various sources, such as fleet and simulation data, to extract actionable insights.
- Develop and evaluate novel algorithms and methodologies for data processing, feature engineering, model training, and performance optimization.
- Evaluate and validate model performance through rigorous testing and analysis, ensuring the safety and reliability of our systems.
- Communicate complex technical findings and recommendations to both technical and non-technical audiences.
- Mentor and provide technical guidance to junior data scientists and engineers.
Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field with 8+ years of experience as a Data Scientist.
- Strong programming skills in Python, including experience with relevant libraries such as scikit-learn, and Pandas & SQL.
- Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling.
- Experience working with large-scale datasets and distributed computing platforms (e.g., Spark, Hadoop) with solid understanding of data processing, feature engineering, and data visualization techniques.
- Strong communication and presentation skills, with the ability to effectively convey technical information to diverse audiences.
Bonus Qualifications
- Experience working with autonomous driving data and algorithms, robotics, control systems or related fields.
- Experience with real-time data processing and low-latency systems.
- Publications in top-tier machine learning or autonomous driving conferences.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.