Senior Data Scientist

Full Visibility LLC•Huntsville, AL
•$150,000 - $205,000•Onsite

About The Position

Full Visibility is seeking a Senior Data Scientist in Washington, DC. The role uses big data technologies and data science models to analyze large datasets and generate valuable insights. The position focuses more on modeling and programming than on visualization and analytics. The Senior Data Scientist develops approaches for handling, analyzing, and using large datasets; explores issues involving data handling, search, and retention; solves complex data and storage problems; develops software code to improve data search processes; tests and validates data and data processes; and reports findings with actionable recommendations. Candidates must have an active Top Secret clearance and be eligible for SCI. Selected candidates may be subject to Counterintelligence (CI) Polygraph examinations based on their assignment after starting, and must be able to obtain and maintain any required CI Polygraph eligibility throughout employment. The stated salary range is $150,000–$205,000. Individual salaries depend on factors including local market conditions and candidate qualifications, skills, education, and experience.

Requirements

  • Active Top Secret clearance and SCI eligibility.
  • Must successfully complete a Counterintelligence (CI) requirement; the posting states candidates may be subject to CI Polygraph examinations based on assignment and must maintain any required eligibility.
  • Bachelor’s degree in a related field, or four additional years of relevant experience in lieu of a degree.
  • Ten years of experience in a related field.
  • Experience with Python, Apache Spark, R, Databricks, Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning (ML), predictive and decision modeling, Amazon Web Services (AWS), and data wrangling and preparation.
  • Emphasis on data science, modeling, and programming rather than visualization and analytics.

Responsibilities

  • Use big data technologies and data science models to analyze large datasets and produce valuable insights.
  • Find and design approaches for handling, analyzing, and using large volumes of data.
  • Explore fundamental issues involving data handling, search, and retention.
  • Solve complex data and storage issues.
  • Design software code to improve data search processes.
  • Design, test, and validate the quality of data and data processes.
  • Analyze and report results with actionable recommendations.
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