REQ#: RQ195288Public Trust: NACI (T1) Requisition Type: Regular Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being of U.S. citizens.

Job Description

Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Scientist joining our team to support CMS' mission to detect and prevent fraud, waste, and abuse across Medicare, Medicaid, and Marketplace programs.

Responsibilities:

Extract qualitative and quantitative relationships, patterns, and trends from large amounts of data using various tools such as Python, R, SQL, SAS and Present analytic studies and findings to a wide audience including leadership, technical, and non-technical resources.Conduct advanced research studies inclusive of policy research, analysis, and modeling and organize/summarize the information for use in supporting decision-making processCollect, manipulate, analyze, evaluate, and display data using visualization toolsPerform data analysis, statistical analysis, and machine learning modeling to conduct complex studies, develop sound inferences, and summarize results using a variety of descriptive statisticsImplement open-ended data merges, data analysis plans, and perform complex data manipulation and reporting tasksDevelop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences

Required Skills:

BA in related field or equivalent combination of education and experience + 3 yrs related experience, or MA + 2 yrs related experienceExperience with Medicare and/or Medicaid dataSuperior skills conducting statistical/analytical and ML modeling and analysis using SAS, Python, R or similar softwareSuperior skills working with large datasets efficiently and effectively incorporating quality assurance techniques throughout the process Proven communication skills working proactively and collaboratively with Federal research, compliance, and policy staff and stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and data setsExperience using statistical and machine learning algorithms, techniques and models and experience with assessing data integrityExperience using multiple data mining tools such as SAS, Python, R, Tableau, etc.Experience with fraud detectionExperience using data visualization tools such as TableauExperience conducting health care related research and analyticsExperience developing and presenting solutions to complex, open-ended problemsExperience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative dataSuperior customer service skills working proactively and collaboratively with Federal research, compliance, and policy staff and stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and data setsExperience matching and merging disparate data setsSuperior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks accordingly, remaining flexible to changing priorities and new initiativesExperience supporting data governance policies and supporting infrastructures spanning diverse stakeholdersExperience using MS Excel and PowerPoint for analysis and presentation of results