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8 дней назад

Data Scientist Mid (Data Science)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Data Scientist Mid (Data Science): Applying statistical, computational, and modeling techniques to complex scientific and technical problems with an accent on experimentation, predictive modeling, and scientific computing. Focus on developing and validating analytical algorithms, interpreting complex datasets, and building data-driven solutions for research, modeling, and simulation.

Location: Redstone Arsenal, Huntsville, Alabama, United States

Company

hirify.global provides software development, cybersecurity, modeling and simulation, data science, energy, and programmatic services to government clients.

What you will do

  • Apply data science, statistical, and computational methods to complex scientific and technical problems.
  • Develop and implement analytical models, algorithms, and data-driven methodologies.
  • Analyze complex datasets to identify patterns, relationships, and insights.
  • Support scientific research, experimentation, modeling, and simulation efforts.
  • Develop and validate predictive and statistical models.
  • Translate scientific and technical requirements into data-driven solutions and document methodologies, results, and findings.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, physical science, or a related field.
  • 6+ years of relevant professional experience.
  • Active Top Secret security clearance.
  • Strong background in data science, statistics, scientific computing, modeling, or a related technical discipline.
  • Experience with Python, R, MATLAB, or similar programming and data science tools.
  • Strong analytical and problem-solving skills, with the ability to work independently and as part of a technical team.

Culture & Benefits

  • Work in a highly technical, self-organized, and collaborative environment.
  • Develop solutions for ill-defined problems where requirements may be incomplete and outcomes are not obvious.
  • Take ownership of technical work and learn new skills.
  • Collaborate across engineering, analyst, and developer teams.

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