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Autonomous Driving Data Analyst Jobs (NOW HIRING)

NuView Analytics

Data Analyst

Denver, CO · Remote

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ... Looking for a self-starter that can work well autonomously and together with a team to figure out ...

fpcusa

Marketing & Data Analyst II

Livingston, NJ

Marketing & Data Analyst II POSITION OBJECTIVE As part of the Polyolefins Staff Team, this role supports the Polyolefins Business Division by driving data-driven initiatives and strategic analysis.

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How much do autonomous driving data analyst jobs pay per year?

As of Jun 6, 2026, the average yearly pay for autonomous driving data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by an Autonomous Driving Data Analyst when working with real-world driving datasets?

One of the main challenges for Autonomous Driving Data Analysts is dealing with the sheer volume and complexity of sensor data collected from vehicles, such as lidar, camera, and radar feeds. Ensuring data quality and labeling accuracy is critical, as errors can significantly impact model training and performance. Analysts also need to collaborate closely with engineering and machine learning teams to interpret data insights and address anomalies or edge cases that arise in varied driving environments. Effective communication and problem-solving skills are essential for translating raw data into actionable improvements for autonomous systems.

What does an Autonomous Driving Data Analyst do?

An Autonomous Driving Data Analyst is responsible for collecting, processing, and interpreting large amounts of data generated by autonomous vehicles. They analyze sensor data, driving scenarios, and vehicle performance to identify trends, detect issues, and suggest improvements for self-driving systems. Their work helps ensure the safety, reliability, and efficiency of autonomous driving technologies by providing actionable insights to engineering and development teams.

What are the key skills and qualifications needed to thrive as an Autonomous Driving Data Analyst, and why are they important?

To thrive as an Autonomous Driving Data Analyst, you need strong analytical skills, proficiency in data science and machine learning, and a background in computer science, engineering, or a related field. Familiarity with tools like Python, SQL, TensorFlow, and automotive data platforms, as well as experience with big data systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data insights, contribute to the development of reliable autonomous systems, and support innovation in a rapidly evolving industry.
Infographic showing various Autonomous Driving Data Analyst job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 19% As Needed, 61% Full Time, 4% Part Time, 8% Temporary, and 4% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Staff Data Scientist - Behavior Evaluation

Zoox

Foster City, CA • On-site

Full-time

Posted 22 days ago

Job description

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.
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.
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.

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.

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.