Supervisory Data Scientist

Centers-For-Medicare-and-Medicaid-Services; Woodlawn (MD); On-site; USD 120,000 - 160,000; Full time

Job summary

Centers for Medicare & Medicaid Services, part of the Department of Health & Human Services, seeks a Supervisory Data Scientist (GS-1560-14) to serve as Deputy Division Director, directing data science, investigative analytics, workforce operations, and program management to detect fraud, waste, abuse, and improper payments.

Applicants should demonstrate extensive experience with analytical models, communicating complex findings, advising on data collection and reporting, and leading machine

Qualifications

• Bachelor’s degree in mathematics, statistics, computer science, data science or related field.
• Combination of education and experience may be accepted (30 semester hours) plus applicable experience.
• At least one year of qualifying specialized experience at GS-13 level, including analytical modeling and ML/predictive work.

Responsibilities

• Develop and apply analytical models or algorithms to analyze complex datasets for fraud, waste and abuse.
• Communicate highly technical findings to audiences through reports or presentations.
• Advise management on data collection, analysis, interpretation, and reporting; lead ML/AI projects.

Job description

Department of Health & Human Services, Centers for Medicare & Medicaid Services, Center for Program Integrity, Data Analytics and Systems Group (DASG), Division of Investigative & Business Analytics (DIBA).

As a Supervisory Data Scientist, GS-1560-14, you will serve as Deputy Division Director, directing data science, investigative analytics, workforce operations, and program management to detect fraud, waste, abuse, and improper payments.

Applicants must demonstrate that they meet the Basic Requirements as noted below.

• A. Possess a degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
• OR
• B. Possess a combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus additional education or appropriate experience.

In order to qualify for the GS-14

you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-13 grade level in the Federal government, obtained in either the private or public sector, to include:

1. Developing and applying analytical models or algorithms using advanced programming languages to analyze complex datasets for the purpose of detecting fraud, waste and abuse;
2. Communicating highly technical complex analytical findings to multiple audiences through written reports or oral presentations;
3. Provides advice or guidance to management on establishing or enhancing standard procedures for data collection, analysis, interpretation, and reporting; AND
4. Acted as lead on a machine learning, AI solutions and/or a predictive modeling project.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.