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3 дня назад

Data Scientist I (AI/ML)

66 456 - 115 554$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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 I (AI/ML): Transforming raw data into insights, tools, and data science applications for Ground Enterprise decision-making with an accent on unstructured data analysis, cloud and on-premises model operations, and data pipeline development. Focus on analyzing high-volume and high-velocity data, developing advanced analytics and automated workflows, and delivering actionable recommendations from complex data.

Location: Chantilly, Virginia, United States; no remote or telework allowed

Projected compensation: $66,456.39–$115,554.76 annually.

Company

hirify.global is a federal government contractor developing systems, software, data science, and AI/ML solutions for Ground Enterprise customers.

What you will do

  • Transform raw data into insights, decision-support tools, metrics, and actionable recommendations.
  • Help onboard, operate, and transition large-scale data science and AI/ML models in cloud and on-premises environments.
  • Support reliable, secure pipelines for data, software, and algorithm delivery across domains.
  • Analyze unstructured and semi-structured data using techniques such as latent semantic indexing, entity identification, tagging, complex event processing, and distributed analytics.
  • Process and index high-volume data collections and high-velocity data streams.
  • Support the development and deployment of applications, data management plans, advanced data fusion, and automated workflow solutions.

Requirements

  • Ability to obtain and maintain a TS/SCI clearance with polygraph.
  • Entry-level profile with a bachelor's degree and 0–2 years of experience, or equivalent high-school-level experience of 6–8 years.
  • Strong analytical skills and interest in solving technical problems.
  • Good presentation and communication skills.
  • Ability to work independently and in a team environment.
  • Experience with or understanding of cloud-based tools for data analysis.

Nice to have

  • Degree in engineering, computer science, data science, imaging science, mathematics, physics, or a related technical field.
  • Experience with machine learning, algorithm analysis, data clustering, data mining, statistics, predictive analytics, and reporting.
  • Experience with Python, R, MATLAB, Java, Linux, Ruby, .NET, C#, C++, or Fortran.
  • Experience with textual processing, entity extraction, conceptual search, visual analytics, or Unix/Linux scripting.

Culture & Benefits

  • Regular full-time employment.
  • Health and life insurance, paid time off, holiday pay, and disability coverage.
  • Retirement and savings programs.
  • Learning and development opportunities and wellness programs.

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