Director of Data Science

3 hours, 9 minutes ago
Full-time
Executive
Data Science and Analytics
Motional

Motional

Motional is a leading company in driverless technology and autonomous vehicles, leveraging decades of industry expertise to develop and deploy safe and reliable autonomous vehicles. With a powerful DNA combining Aptiv's automotive technology and Hyunda...

Automotive
1K-5K
Founded 2020
$20M raised

Description

  • Define the strategic vision for data science across fleet analytics, simulation, systems readiness, and company-wide initiatives.
  • Conduct rapid investigations of emergent fleet issues and translate operational data into launch insights.
  • Develop statistical exposure models to evaluate vehicle safety and performance across environments and Operational Design Domains.
  • Partner with Systems and Autonomy teams, including Perception, Prediction, and Planning.
  • Translate telemetry and analytical findings into strategy documents, visualizations, and executive dashboards.
  • Lead, mentor, and scale a four-person data science team while maintaining analytical rigor and responsiveness.
  • Establish organizational best practices for data integrity, performance measurement, and cross-functional technical collaboration.
  • Travel approximately 1–2 weeks per quarter to testing sites, primarily in Las Vegas.

Requirements

  • 10+ years of professional experience leading data science or applied AI/ML initiatives.
  • 5+ years scaling data-driven programs for autonomous driving, robotics, or safety-critical engineering systems.
  • Master’s degree or PhD in Data Science, Computer Science, Robotics, Mathematics, Physics, or another quantitative field.
  • Expertise in statistical analysis, density estimation, hypothesis testing, uncertainty quantification, and causal reasoning.
  • Advanced proficiency with Python, SQL, data science infrastructure libraries, Transformers, and distributed computing frameworks such as Ray or AWS.
  • Experience translating ambiguous performance questions into structured metrics and solution architectures.
  • Strong communication skills for presenting technical findings and trade-offs to engineering teams and executives.
  • Ability to influence cross-functional teams, resolve technical disagreements, and establish data integrity practices.
  • Experience with reward functions or Inverse Reinforcement Learning for driving behavior evaluation is preferred.
  • Familiarity with physical AI, open-weight vision-language models, autonomous vehicle subsystems, ISO 26262, or ISO 21448/SOTIF is preferred.

Benefits

  • Base salary range of $288,000–$396,000 USD.
  • Potential bonus and company equity.
  • Medical, dental, and vision insurance.
  • 401(k) with company match and health savings accounts.
  • Life insurance, pet insurance, and additional benefits.
  • Hybrid work in Boston, Pittsburgh, or Las Vegas, with a fully remote option.
  • Inclusive workplace with reasonable accommodations available.

Interested in this position?

Apply directly on the company website

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