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Safety Statistician, III – Risk & Safety Analysis (Autonomous Vehicles)

145 900 - 175 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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