обновлено 17 часов назад
Safety Statistician, III – Risk & Safety Analysis (Autonomous Vehicles)
145 900 - 175 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Safety Statistician, III – Risk & Safety Analysis (Autonomous Vehicles): Applying rigorous statistical methods to evaluate safety performance and risk in autonomous driving systems, using vehicle, sensor, and structured safety data with an accent on Bayesian and frequentist analysis, rare-event data, and regulatory decision support. Focus on building production-ready monitoring workflows, translating complex findings for engineering and executive audiences, and quantifying risk from sparse and noisy real-world datasets.
Location: Remote in the United States; Blacksburg, Virginia
Salary: $145,900–$175,100 USD annually, plus bonus and stock options
Company
develops software for automated trucks and autonomous driving systems as part of the Daimler family.
What you will do
- Design and execute statistically rigorous analyses addressing safety, regulatory, and risk-related questions.
- Quantify and assess risk using large-scale vehicle and sensor time-series data and structured safety datasets.
- Translate complex statistical analyses into actionable information for safety and engineering teams.
- Develop automated, production-ready workflows for continuous safety monitoring.
- Select and defend Bayesian, frequentist, and machine learning approaches for sparse, noisy, and rare-event data.
- Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives.
Requirements
- Advanced degree in Statistics or a closely related field: an M.S. with 3+ years of experience or a Ph.D. with 1+ years of experience.
- Strong background in applied statistics, safety analysis, and risk estimation.
- Experience with autonomous vehicles or another safety-critical domain such as automotive, aerospace, defense, robotics, rail, or actuarial work.
- Experience working with complex, real-world datasets.
- Hands-on Python experience for analysis; SQL or R is a plus.
- Domain knowledge in Bayesian methods and the ability to explain statistical concepts to non-statistical audiences.
Nice to have
- Experience applying Bayesian methods to risk estimation using simulations and naturalistic driving data.
- Experience applying statistics to engineering or physics-based systems.
- Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling.
- Experience supporting executive or external stakeholder decisions under tight timelines.
Culture & Benefits
- Collaborative, energetic, and team-focused work environment.
- 100% company-paid medical, dental, and vision premiums for full-time employees.
- 401(k) plan with a 6% employer match.
- Flexible schedule and generous paid vacation available immediately after the start date.
- Company-wide holiday office closures, AD&D insurance, and life insurance.
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