Uber · 1 month ago
Staff Applied Scientist, Road Safety
San Francisco, CA
Full-time
Onsite
Lead/Staff
$212K/yr - $236K/yr
8+ years expUber is seeking a Staff Applied Scientist for their Road Safety team, which focuses on enhancing safety on the Uber platform through advanced data science and machine learning. The role involves leading the development of machine learning models, conducting deep-dive analyses, and influencing product and policy decisions to ensure user safety.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Define the strategic roadmap and set the technical direction for developing and deploying large-scale, high-performance machine learning systems focused on proactive safety prediction and mitigation
Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact
Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities
Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout
Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company-wide safety policies
Qualification
Required
Education: Ph.D. in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field, OR equivalent experience
Experience: 8+ years (with Ph.D.) or 10+ years (with M.S. or B.S.) of industry experience building and deploying machine learning models or conducting high-impact applied data science in a large-scale production environment
Technical Depth: Expert proficiency in core machine learning principles, including classification, regression, time series analysis, and causal inference
Programming: High proficiency in at least one programming language (e.g., Python or Scala) and expertise in data manipulation using SQL
System Scale: Demonstrated experience designing and delivering end-to-end ML solutions that operate at significant scale (handling large datasets and high-velocity systems)
Strategic Impact: Proven track record of influencing product or policy decisions using rigorous analysis, experimentation (A/B testing), and clear communication of complex technical results to non-technical stakeholders
Preferred
Insurance/Actuarial Fundamentals: Applied knowledge of core insurance concepts such as:
Risk Modeling: Understanding of concepts like frequency, severity, and loss development
Loss Cost & Pricing: Familiarity with how safety events translate into financial loss (expected claims/payouts) and the inputs for risk-based pricing or economic valuation of safety interventions
Telematics: Experience leveraging granular sensor or telematics data to model driver behavior and assess accident probability
Benefits
Participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B
Leadership Team
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
2026-01-14
2026-01-13
Company data provided by crunchbase