Senior / Staff Data Scientist - Planner Verification & Validation
Job Summary
Job Description
We are seeking a highly skilled and experienced Senior / Staff Data Scientist to join our Planner Verification & Validation team. The role involves developing and deploying cutting-edge autonomous driving technologies, tackling complex data challenges, and driving innovation in machine learning and statistical modeling. You will analyze large-scale datasets, develop and evaluate novel algorithms, validate model performance, and communicate technical findings. Responsibilities include mentoring junior scientists and collaborating with talented engineers in a fast-paced, collaborative environment.
Must have:
- Master's or Ph.D. in a quantitative field
- 5+ years of experience as a Data Scientist
- Strong Python programming skills (scikit-learn, Pandas)
- SQL proficiency
- Expertise in machine learning (deep learning, reinforcement learning)
- Experience with large datasets and distributed computing (Spark, Hadoop)
- Strong communication and presentation skills
Good to have:
- Experience with autonomous driving data and algorithms
- Robotics or control systems experience
- Real-time data processing experience
- Publications in top ML or autonomous driving conferences
Perks:
- Amazon Restricted Stock Units (RSUs)
- Zoox Stock Appreciation Rights
- Sign-on bonus may be offered
- Comprehensive benefits package (paid time off, health insurance, disability insurance, life insurance)
12 skills required
Job Details
We are seeking a highly skilled and experienced Senior / Staff Data Scientist to join our Planner Verification & Validation team and play a pivotal role in developing and deploying cutting-edge autonomous driving technologies. As a Senior / 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.
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 5+ 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.
$217,000 - $295,000 a year
Base Salary Range
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.
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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Accommodations
If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
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About The Company
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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