Lead Data Scientist – Autonomous Driving
At a glance
Senior Data Science role at Avride. Austin · no salary stated · we estimate $164,051–$191,788.
Avride has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Define measures and a metric hierarchy for tracking platform health and autonomous-driving behavior quality
- Lead an evaluation focus area, help hire and develop analysts, and set their direction with technology leaders
- Design and interpret experiments with statistical methods, then turn the findings into supported decisions
- Work with data engineers and backend developers to build datasets and reliable pipelines for recurring analysis
What you bring
- At least four years doing analytics for a complex or large-scale technology product
- Strong statistical judgment for assessing change and uncertainty
- Strong Python and SQL skills, with the ability to deliver experiments, analyses and pipelines independently
- A record of technical leadership in analytics, including mentoring and hiring
Who this fits
This is a senior, hands-on individual-contributor role that also involves guiding analysts and helping shape the team. You must be authorized to work in the United States; relocation, sponsorship and remote work are unavailable.
From the employer
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.
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