Director of Data Science
New
M
MotionalAutonomous Driving
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.Full-TimeDirector
Salary$288,000 — $396,000 USD
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Job Details
- Experience
- 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.
- Required Skills
- AWSPythonSQLMachine Learning
Requirements
- 10+ years of professional experience leading data science or applied AI/ML initiatives.
- 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.
- 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 and resolve technical disagreements.
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).
- 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.
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