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Bluehawk LLC, Intelligence Services

Data Scientist - Mid

  • +4
  • +7
  • US
    United States
Show interest
  • +4
  • +7
  • US
    United States

About

BLUEHAWK, LLC is a professional services firm providing intelligence, information technology, language, and training services to the U.S. Government and commercial entities with objectives to protect and defend our nation, citizens, natural resources, critical Infrastructure, freedoms, and human rights. We are hiring creative, motivated talented people. Who are committed to delivering programs and solutions to meet our customers' time frames and financial parameters by managing technical, schedule, and cost performanceDeadline for resume submittal is 6/26***Basic Qualifications3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining3+ years of experience with analyzing structured and unstructured data sourcesExperience with statistical and general-purpose programming languages for data analysisExperience with developing predictive data models, quantitative analyses, and visualization of target data sourcesExperience with leading the development of solutions to complex problemsExperience with natural language processing, text mining, or machine learning techniquesExperience implementing automation in processing, presenting, or manipulating dataActive TS/SCI clearance; willingness to take a polygraph examBachelor's degreeAdditional Qualifications / Nice to haveExperience in the development of algorithms leveraging Python and SQLExperience with developing solutions incorporating Large Language ModelsExperience with Python data science and visualization packagesExperience with Excel MBAAn active CI polygraphBluehawk, LLC. is an Equal Opportunity/Affirmative Action /EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity Employer #J-18808-Ljbffr

Nice-to-have skills

  • Data Analysis
  • Data Visualization
  • Data Mining
  • Machine Learning
  • Automation
  • Python
  • SQL
  • United States

Work experience

  • Data Engineer
  • Fullstack
  • Machine Learning
  • NLP

Languages

  • English