Leads, mentors, and develops a team of safety analysts and engineers, establishing clear roles, responsibilities, and performance expectations across on‑road and simulation‑based safety performance monitoring.
Provides regular technical review, coaching, and feedback to ensure analyses are statistically sound, methodologically defensible, reproducible, and supported by clear documentation.
Sets expectations for rigorous problem formulation, appropriate method selection, and defensible interpretation of results, particularly for sparse, noisy, or rare‑event safety data.
Ensures continuity of knowledge through documentation, peer review, cross‑training, and shared analytical patterns to reduce single‑point dependencies.
Ensures team outputs are aligned with internal safety policies, safety case strategy, and regulatory expectations, including appropriate use of statistical and risk‑based evidence.
Applies engineering judgment, informed by an understanding of safety metrics, deployment context, and probabilistic risk estimation, to evaluate the sufficiency of safety performance evidence and residual risk.
Guides leaders in understanding the strengths, limitations, uncertainty, and assumptions underlying safety performance results.
Balances analytical rigor with timeliness to support high‑consequence, time‑sensitive decisions, without overstating confidence or masking uncertainty.
Drive data visualization and reporting strategies that enable both technical teams and executives to quickly understand insights and tradeoffs
Ensure transparency and traceability through strong documentation, reproducible workflows, and automated reporting (including regulatory artifacts)
Establishes and oversees requirements and safety metrics including thresholds and targets for safety performance monitoring across on‑road and simulation‑based data sources.
Ensures performance monitoring approaches appropriately reflect real‑world deployment exposure and evolving operational contexts.
Governance of continuous analysis workflows that support operational monitoring, milestone gating, and incident response.
Ensures investigations are unbiased, statistically appropriate, and methodologically sound, including correct treatment of rare events, sparse data, and uncertainty.
Reviews and challenges analytical assumptions, metric definitions, and risk interpretations to prevent misplaced confidence.
Guides the team in synthesizing findings across data domains into coherent, defensible safety narratives that connect performance results to risk.
Communicates complex safety performance results, statistical reasoning, and risk implications clearly and confidently to engineers, executives, and safety governance bodies.
Represents the team in cross‑functional forums, advocating for analytical rigor, disciplined interpretation of results, and realistic expectations of what performance data can and cannot support.
Translates uncertainty, assumptions, and limitations transparently, enabling informed decision‑making rather than false confidence.
Builds trust through consistency, technical credibility, and demonstrated accountability for the quality and integrity of team outputs.

Requirements

Degree in Engineering, Computer Science, Statistics, or a related field
PhD + 3+ years, MS + 7+ years, or BS + 10+ years of relevant experience
Experience with Federal and State crash and safety databases
Experience in developing safety metrics including thresholds and targets
Proven leadership experience building and scaling data science or analytics teams in complex, technical environments.
5 years of leadership experience
Strong background across data science, statistical analysis, and engineering principles, ideally applied to physical systems or transportation
Experience with Python (data science, engineering, visualization libraries) and SQL
Deep understanding of statistical methods, experimental design, and performance evaluation
Experience working across multiple data domains (sensor data, video, physics-based data, etc.)
Familiarity with modern development practices (CI/CD, code reviews, shared repositories)
Strong communication skills with the ability to translate complex analyses into clear, actionable insights
Highly analytical and naturally curious, with the ability to break down ambiguous problems and drive structured solutions

Benefits

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencestatistical analysisengineering principlessafety metricsPythonSQLstatistical methodsexperimental designperformance evaluationdata visualization

Soft Skills

leadershipcommunicationanalytical thinkingproblem-solvingmentoringcoachingtranslating complex analysesbuilding trustaccountabilitycuriosity