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Autonomous Driving Data Analyst Jobs (NOW HIRING)

Collabera

Vehicle Operator and Data Analytics

Troy, MI · On-site

$22 - $24/hr

Vehicle Operator & Data Analytics Autonomous Driving Location: Troy, MI Rates: $22-24/hr Duration: 10 Months Position Type: Student / Intern / Working Student Benefits: The Company offers the ...

Waymo

Senior Data Scientist

San Diego, CA

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ...

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Autonomous Driving Data Analyst information

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$82.6K

$136K

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.

Autonomous Vehicle Metrics and Evaluation Data Scientist - Analytics

Avride

Austin, TX • On-site

Other

Posted 12 days ago

Job description

About the Team

Our team is dedicated to advancing the future of autonomous driving technology by developing the metrics and evaluation frameworks that ensure the safety, performance, and readiness of self-driving systems. We work closely with engineering teams to analyze real-world and simulated driving data, enabling data-driven decisions that accelerate the commercialization of autonomous vehicles. Our work directly impacts critical questions such as: 'How well does the vehicle handle complex intersections? Does it provide a passenger-safe experience during maneuvers? How do we statistically validate readiness for urban deployment?'

About the Role

We are seeking a skilled Data Scientist to join our team and play a pivotal role in defining and evaluating the performance of autonomous vehicle systems. You will design and implement quantitative metrics to assess driving behavior, safety compliance, and passenger comfort. Your work will involve analyzing large datasets, applying statistical methods, and collaborating with cross-functional teams to ensure our self-driving systems meet the highest standards of safety and reliability. This role offers the opportunity to make a significant impact on the future of autonomous driving technology.

What You'll Do
  • Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
  • Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
  • Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
  • Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
  • Build scalable data pipelines to automate metric computation and reporting.
  • Review driving logs and participate in test rides to ground analyses in real-world performance.
What You'll Need
  • 2+ years of experience in data science, applied statistics, or metrics development.
  • Proficiency in Python and SQL for data analysis.
  • Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
  • Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
  • Ability to communicate technical findings to cross-functional stakeholders.
Nice to Have
  • Experience with machine learning (e.g., model evaluation, feature engineering).
  • Familiarity with big data tools (Spark, Hadoop, MapReduce).
  • Knowledge of traffic regulations or automotive safety standards (e.g., NHTSA).

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