Data Scientist
Location: Chantilly, VA

Position Description:

  • Part of the Cyber Engineering team
  • Involved in the analysis of unstructured and semi-structured data.
  • Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases.
  • Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills – engineering, physics, mathematics.
  • Has the ability to utilize advanced tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions.

Requirements:

  • Visualize information using a range of tools, developing scripts & algorithms, creating explanatory models addressing cyber domain expertise
  • Explore leading analytics approaches and methods to improve model-driven methodology concepts
  • Lead initiatives to develop and refine collections and analytic methods, collaborating with analysts
  • Provide innovative analytics solutions for highly complex data challenges
  • Develop and apply quantitative and qualitative analytic methods to identify, collect, process, and analyze large datasets
  • Develop and maintain data quality metrics and measures
  • Identify trends, solve analytical problems, optimize performance, and develop results through appropriate data analytics techniques (data mining and retrieval)
  • Develop and show value of analytics
  • Develop and apply methods to identify, collect, process, and analyze large volumes of data to build and enhance products and processes
  • Conduct data mining and retrieval and apply statistical and mathematical analyses to identify trends, solve analytical problems, optimize performance, and gather intelligence

Requirements:

  • Ability to develop descriptive, predictive, or prescriptive analytics to make sense of structured and unstructured data
  • Knowledge of cloud/virtual content architectures, data standards & workflows, and best practices
  • Experience in system activity and data modeling, information flow / transactional process analysis, business methods, and performance measurements techniques
  • Strong oral, writer, and presentation skills
  • Prior experience with ERWin
  • Active TS/SCI clearance

Education/Technical Requirements

  • Requires 12 to 15 years with BS/BA or 10 to 13 years with MS/MA or 7 to 9 years with Ph.D.
  • BS in Data Science, software engineering, or related technical discipline
  • Relevant Data Scientist / Architect / Engineering Professional credentials, academic certification, and /or training
  • One or more of these certifications:  INCOSE, ITIL, CISSP, Agile
  • Familiarity with working on SAFe agile projects

Equal Employment  

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.

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