Director of Data Science

Motional•Boston, MA

4d•$288,000 - $396,000•Hybrid

About The Position

The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets. We work closely with stakeholders in autonomy, infrastructure, and operations to build the definitive safety case for the commercial launch of our fully driverless IONIQ 5 robotaxis. As the Director of Data Science, you will lead the strategic vision and execution for extracting intelligence from petabyte-scale on-road fleet data and simulation ecosystems. This leadership role is centered on building advanced data-driven methodologies, developing predictive and generative models, and serving as the primary analytical anchor supporting not only the Systems Readiness and Performance/Metrics teams but the whole company. You will drive the statistical rigor necessary to translate raw road data into high-fidelity performance metrics that directly inform vehicle launch readiness and safety-critical decisions.

Requirements

10+ years of professional experience leading data science or applied AI/ML initiatives, with at least 5 years explicitly scaling data-driven programs for autonomous driving, robotics, or complex safety-critical engineering systems.
Master’s degree or PhD in Data Science, Computer Science, Robotics, Mathematics, Physics, or a highly quantitative field.
Deep foundational knowledge in statistical analysis, density estimation, hypothesis testing, uncertainty quantification, and causal reasoning.
Mastery of Python, SQL, and data science infrastructure libraries, alongside a strong understanding of modern sequence modeling (Transformers) and distributed compute scaling frameworks (e.g., Ray, AWS).
Demonstrated track record of translating ill-defined, ambiguous real-world performance questions into structured metric designs and concrete solution architectures.
Proven capacity to articulate highly technical data patterns and trade-offs into compelling strategies for cross-functional engineering peers and C-suite executives.
Strong interpersonal ability to wield cross-functional technical influence, resolve technical disagreements across teams, and establish organizational best practices around data integrity.

Nice To Haves

Experience designing reward functions or applying Inverse Reinforcement Learning (IRL) to evaluate human-like driving intent, assertiveness, and comfort.
Familiarity with physical AI ecosystems, open-weights Vision-Language models (VLMs), or processing raw telemetry without text-translation bottlenecks.
Direct experience evaluating core onboard software subsystems like Perception, Prediction, or Motion Planning.
Deep familiarity with functional safety engineering standards like ISO 26262 and ISO 21448 (SOTIF)

Responsibilities

Execute fast-turnaround investigations on emergent fleet issues, converting real-time operational data into high-impact insights for launch decisions.
Build complex statistical models to evaluate vehicle safety and performance across diverse environmental variables and Operational Design Domains.
Serve as the primary analytical anchor for Systems and Autonomy teams (Perception, Prediction, Planning).
Work with other systems teams to distill raw telemetry and rapid-response findings into high-level strategy documents, visualizations, and dashboards.
Mentor and scale a dedicated four-person team, instilling a culture that pairs rapid analytical agility with absolute scientific rigor.