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Data Scientist – AV Metrics & Evaluation Analytics

Avride Open · verified Oct 24, 2026
Austin Mid-level Data Science

At a glance

Mid-level Data Science role at Avride. Austin · no salary stated · we estimate $93,250–$195,000.

Estimated pay

Avride has not published a salary for this role. The figure below is our estimate, not theirs.

$93,250 – $195,000
What the middle half of mid-level data science roles in Austin paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median $95,000. Last updated Oct 23, 2026.
RoleData Science
SeniorityMid-level
LocationAustin
PostedAug 20, 2025 · 1y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Assess autonomous vehicle performance using data from road tests and simulated driving experiments
  • Create rule-based and machine-learning metrics for driving behavior, safety compliance and passenger comfort
  • Test whether metrics respond reliably using statistical inference and hypothesis testing
  • Turn findings into improvement priorities with autonomy software, simulation and safety teams
  • Automate metric calculations and reports, and review driving logs or join test rides

What you bring

  • At least two years in data science, applied statistics or metrics development
  • You can analyze data with Python and SQL
  • You know statistical techniques such as A/B tests, confidence intervals and regression
  • You have built measures for complex systems, such as robotics, autonomous systems or large-scale software

Who this fits

This mid-level role suits someone who can combine statistical analysis with metrics development and explain findings to teams across disciplines. You must be authorized to work in the U.S.; relocation support, visa sponsorship and remote work are unavailable.

From the employer

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).

#LS-MS1

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.

Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.