CMS Machine Learning Team Lead

Clearance Level
None
Category
Data Science
Location
Baltimore, Maryland

REQ#: RQ96957

Travel Required: Less than 10%
Public Trust: MBI (T2)
Requisition Type: Regular

General Dynamics Information Technology, delivers next-generation IT solutions and services to the Centers for Medicare & Medicaid Services (CMS) and other Federal Health agencies. GDIT is currently seeking a Machine Learning Team Lead to join our portfolio of Fraud, Waste and Abuse programs. In this role you will consult and provide technical input for our mission and IT service professionals associated with our FWA system programs. This role includes both support of our operational programs and business development and capture related activities.

RESPONSIBILITIES:

  • Lead team of data scientists to develop innovative and advanced solutions to complex problems utilizing AI/ML best practices
  • Assess and consult on emerging AI/ML technologies and guidance related to system, analytic environment, tools, and data requirements
  • Extract qualitative and quantitative relationships (i.e., patterns, trends) from large amounts of data using SAS, R, Python, Databricks or other statistical or data mining tools
  • Develop machine learning or advanced analytic algorithms and data visualization of complex data to detect aberrancies and potential vulnerabilities
  • Gather and organize information for use in supporting decision-making process
  • Collect, manipulate, analyze, evaluate, and display data using visualization tools
  • Implement open-ended data merges, data analysis plans, and perform complex data manipulation and reporting tasks
  • Develop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences

QUALIFICATIONS: 

Required Skills and Experience - 

  • Bachelor of Science (BS) and 15 years of related experience, or Masters of Science (MS) and 10 years of related experience.
  • Experience with healthcare programs.
  • Ability to prioritize effectively
  • Excellent oral and written communication; including presentation skills
  • Candidate must be able to obtain Public Trust clearance and must have lived in the United States at least three (3) out of the last five (5) years

Desired Skills and Experience:

  • Doctor of Philosophy (PhD)
  • Experience with Medicare and/or Medicaid data
  • Experience with fraud detection
  • Experience using data visualization tools such as Tableau or PowerBI
  • Experience conducting health care related research and analytics
  • Experience developing and presenting solutions to complex, open-ended problems
  • Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
  • Experience matching and merging disparate data sets

ATTRIBUTES FOR SUCCESS:

  • Ability to work on multiple tasks simultaneously in a high-pressure customer service environment
  • Proven ability to inspire and train staff to provide technical guidance as well as excellent customer service
  • Ability to independently design innovative solutions to complex business problems and present solutions for cross-team buy-in
  • Excellent interpersonal communication and consensus-building skills with demonstrated ability to present material effectively to all levels of staff.
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.