Lead Data Scientist – Autonomous Driving
Reads like a Data Leadership role: running a data team.
Austin, Texas
- Pay
- Pay not listedSimilar roles state $153K–$225K
- Work setting
Working pattern needs review — work setting source
#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.
Read the full posting- Employment
- Not stated
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
Read the full posting
What you’ll work on
Full postingWe are building the analytics function and looking for people with a leadership mindset and deep analytics experience.
Define metrics and metric hierarchy to measure autonomous driving technology quality
Design, run, and interpret statistical experiments
Help hire, level up, and set direction for analysts
Build and automate analysis pipelines with data engineers
From the employer’s posting
We are building the analytics function and looking for people with a leadership mindset and deep analytics experience. You will lead a focus area in evaluation and experimentation, help hire and shape the IC team, guide analysts on scope and methods, and work closely with partner teams. You will integrate simulation and on-road evidence, use a broad toolkit of analytical methods, and produce clear, action-oriented outputs for stakeholders. You are comfortable staying hands-on as an individual contributor.
define the right metrics and metric hierarchy to quantify technology quality
Design, run, and interpret experiments using solid statistical methods
take part in hiring and leveling up analysts, and set direction for an evaluation focus area
productionize analysis pipelines that automate recurring computations
What you’ll bring
All qualificationsCore experience
- 4+ years in analytics for large-scale or complex technology products
- Strong background in statistical reasoning and methods
- Strong Python and SQL
- Proven technical leadership, mentoring, and hiring in analytics
- Authorized to work in the U.S.
Qualification wording
4+ years in analytics for a large-scale or complex technology product
strong background in statistical reasoning and methods for evaluating change and uncertainty
strong Python and SQL
proven technical leadership, mentoring, and hiring experience in analytics
Candidates are required to be authorized to work in the U.S.
Education & alternatives
Nice to have - Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework). - Familiarity with the modern data stack and experience in data engineering.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Statistics: strong background in statistical reasoning and methods for evaluating change and uncertainty. - Coding: strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end. - Leadership: proven technical leadership, mentoring, and hiring experience in analytics.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 139 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 12, 2026 · 139 days ago
- Recorded sightings
- 93
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
About the team
Our team is responsible for understanding how our technology performs and turning that understanding into confident decisions. We bring together simulation data, real-world driving data, structured test results, and human-labeled data to evaluate the stack end to end. We collaborate across the stack and deliver analytics on a wide range of technology aspects, from low-level hardware and performance to behavior quality in specific road scenarios. We answer questions from issues with system performance in specific conditions to how ready we are overall to launch from a safety perspective.
About the role
We are building the analytics function and looking for people with a leadership mindset and deep analytics experience. You will lead a focus area in evaluation and experimentation, help hire and shape the IC team, guide analysts on scope and methods, and work closely with partner teams. You will integrate simulation and on-road evidence, use a broad toolkit of analytical methods, and produce clear, action-oriented outputs for stakeholders. You are comfortable staying hands-on as an individual contributor.
What you’ll do
- Understand the technology deeply. Go deep into autonomous driving technology across behavior and hardware. Evaluate platform health and system behavior, and define the right metrics and metric hierarchy to quantify technology quality.
- Help build and lead the team. Contribute to team formation, take part in hiring and leveling up analysts, and set direction for an evaluation focus area while collaborating with technology leaders and with teams that build data infrastructure and analytics tools.
- Be hands-on with experiments. Design, run, and interpret experiments using solid statistical methods. Be ready to analyze results yourself and translate them into well-supported decisions.
- Build and automate analysis. Collaborate with data engineers and backend developers to assemble datasets and productionize analysis pipelines that automate recurring computations with attention to performance and reliability.
What you’ll need
- Experience: 4+ years in analytics for a large-scale or complex technology product.
- Statistics: strong background in statistical reasoning and methods for evaluating change and uncertainty.
- Coding: strong Python and SQL; you can independently run experiments and ship analyses and pipelines end to end.
- Leadership: proven technical leadership, mentoring, and hiring experience in analytics.
Nice to have
- Formal training in statistics (for example, MS or PhD in Statistics, Applied Statistics, Biostatistics, Econometrics, or a quantitative field with rigorous statistical coursework).
- Familiarity with the modern data stack and experience in data engineering.
- Background in autonomy or other technologically intensive domains.
#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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Austin, Texas
#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.
- Work authorization
#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.
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