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1 день назад

Senior Data Scientist (AI/ML)

160 000 - 190 000$
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
Senior Data Scientist (AI/ML): Building data pipelines, analytical tools, and software for imagery curation, labeling campaigns, and AI/ML model development with an accent on geospatial data, ETL, statistical analysis, and operational intelligence. Focus on integrating emerging sensors and data formats, designing training and validation splits, and developing tools for large-scale data monitoring and mission analysis.

Location: Falls Church, Virginia, United States

Salary: $160,000–$190,000 USD per year

Company

hirify.global delivers technical and mission expertise for national security, technology, and defense challenges.

What you will do

  • Develop data pipelines, data structures, and workflows for emerging sensors, platforms, and data types.
  • Assess metadata, schemas, APIs, ETL processes, and data ingestion across existing data operations.
  • Analyze data holdings and recommend training, test, and validation splits for AI/ML model development.
  • Design statistical and quantitative methods to solve complex mission and operational problems.
  • Build web-scraping algorithms and analytic tools for imagery curation, acquisition, geospatial filtering, and chipping.
  • Build software to manage labeling campaigns, monitor training-data priorities, visualize data, and integrate data-management platforms.

Requirements

  • Active TS/SCI clearance and ability to obtain a CI/Poly.
  • Experience with AI/ML technologies and data systems.
  • Experience working with geospatial file formats, JSON, XML, and related data formats.
  • Quantitative analysis and data operations experience, including visualization, data manipulation, and ETL.
  • Working knowledge of SQL and NoSQL databases.
  • Development experience in Python and other languages for data cleaning and manipulation.

Nice to have

  • Experience applying NLP algorithms to extract data from documents.
  • Experience with NGA analytic modernization efforts, computer vision, automated collection, automated reporting, or data standardization.
  • Expertise in classification, regression, clustering, data reduction, causal modeling, and other quantitative techniques.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Paid time off, paid holidays, and paid parental leave.
  • 401k plan with company match.
  • Training and development opportunities, award programs, and company-sponsored events.
  • Focus on employee well-being, professional growth, and work-life balance.

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