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4 дня назад

Applied Data Scientist (Cybersecurity)

120 000 - 170 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
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
Applied Data Scientist (Cybersecurity): Building end-to-end data science solutions from customer problems and hypotheses into scalable capabilities for operational technology platforms with an accent on statistical analysis, predictive insights, and product generalization. Focus on analyzing time-series operational data, translating complex findings for customers, and designing scalable data strategies for cybersecurity, diagnosis, and prediction.

Location: Rosslyn, Virginia, or remote within the United States. Travel up to 40% of the time within the US may be required.

Base salary: $120,000–$170,000 per year, plus bonus and equity.

Company

hirify.global builds a data platform for onboard operational technology, providing cybersecurity, predictive maintenance, and compliance capabilities for defense and commercial fleets.

What you will do

  • Own data science projects from problem definition and hypothesis development through actionable deliverables.
  • Convert customer-specific insights and solutions into scalable capabilities within hirify.global’s core products.
  • Collaborate with embedded analysts, deployment strategists, forward-deployed engineers, programmers, and leadership.
  • Perform advanced statistical analyses to identify trends and support diagnosis and prediction from operational data.
  • Identify process improvements, recommend system modifications, and develop long-term data strategies.

Requirements

  • Fluency in Python, SQL, R, or Matlab.
  • Strong data needs analysis skills, including identifying the data and technical tests needed to validate hypotheses.
  • Excellent communication skills, including translating technical information for non-technical audiences.
  • Ability to break down ambiguous problems, work independently, and manage multiple engagements.
  • Ability and willingness to travel up to 40% of the time within the United States.

Nice to have

  • Experience working with time-series data.
  • Master’s or doctoral-level background or education in Data Science.
  • Industry experience in defense, aerospace, or cybersecurity.

Culture & Benefits

  • Flexible work and remote work policy.
  • Bonus program and equity in a fast-growing startup.
  • Medical, dental, and vision coverage for employees and families.
  • Health Savings Account with annual employer contributions.
  • Employer-paid life and disability insurance.
  • Uncapped paid time off and tax-deferred public transit benefits through Metro SmartBenefits.

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