Lead Data Scientist – Fraud Analytics & Program Insights

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

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