LEAD DATA SCIENTIST \({\cdot}\) PHARMACY INVESTIGATORS
& CONSULTANTS \({\cdot}\)
2022-Present
Data Scientist in charge of anomaly detection in a team dedicated to
analyzing & investigating claims data in search of fraud, waste, and
abuse from pharmaceutical benefits managers as well as individual
pharmacies.
- Daily Work
- Worked directly alongside expert Criminologist to
engineer new features and metrics for assessing fraud in claims
data
- Executed statistical and machine learning methods of outlier
detection
- Created and maintained ETL pipelines for clients with millions of
claim transactions per week
- Developed automated reporting tools for clients
- Communicated directly with clients to report findings and answer
questions
- Primary Tools Used
- Python, AWS (Glue, Lambda, S3), SQL, Gitlab, R,
Medi-Span