Data Scientist, Level 2

Independent SoftwareColumbia, MD

About The Position

At Independent Software, as a Data Scientist Level 2, you will apply data science and analytical techniques to support targeting, access discovery, and mission-focused research. You will research technologies and capabilities, analyze complex data, develop models, and create visualizations to support technical and operational objectives. This position requires strong research and analytical skills and the ability to apply quantitative and qualitative techniques to complex mission problems.

Requirements

  • Strong research and analytical skills
  • Experience with data modeling, computational mathematics, or quantitative and qualitative analytical techniques
  • Experience analyzing complex datasets
  • Experience developing data visualizations
  • Proficiency with Python
  • Experience with XKS/DX or other automated analytics workflow development
  • Strong critical-thinking and problem-solving skills
  • Ability to independently research and analyze technical information

Nice To Haves

  • CNO/CNE
  • Targeting
  • Access discovery and development
  • SWAT/AWST
  • SIGDEV/SIGINT/CNO experience with the ability to perform data science

Responsibilities

  • Conduct research to support targeting, access discovery, and technology analysis
  • Research capabilities for target knowledge and technology opportunities
  • Perform data modeling and develop analytical approaches to complex data
  • Apply computational mathematics and quantitative and qualitative analytical techniques
  • Analyze and interpret complex datasets to identify patterns, relationships, and relevant findings
  • Develop data visualizations to communicate analytical results
  • Apply Python and other analytical tools to data science problems
  • Support research and analysis involving technical and mission-specific information
  • Document analytical methodologies, research, and findings
  • Collaborate with technical and mission teams to support operational objectives

Benefits

  • Ongoing training
  • Mentorship
  • Career development
  • Competitive compensation
  • Generous benefits
  • Work-life balance
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