Data Scientist, Senior

Key Role:

Explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights. Apply specific functional knowledge and working/general industry knowledge. Develop or contribute to solutions to a variety of problems of moderate scope and complexity. Work independently with some guidance and review or guide activities of junior employees.

Basic Qualifications:

  • 4+ years of experience with data science, data analytics, or statistics
  • Experience with identifying and analyzing data sets to meet customer requirements
  • Experience with preparing customer data for visualization models, including merging and aggregating data, handling anomalies, balancing and feature selection
  • Knowledge of data science language or application, including Python, R, or SAS to build predictive models
  • Ability to help interpret model results and communicate them clearly through compelling data visualizations
  • Ability to obtain a security clearance
  • Bachelor’s degree

Additional Qualifications:

  • Experience with supervised machine learning techniques, including neural networks, graph analysis, decision trees, and logistic regression
  • Experience working with Fraud, Waste, and Abuse (FWA)
  • Secret clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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