Junior Data Scientist

The Junior Data Scientist will apply modern programming, statistical, and machine learning techniques to healthcare claims data, supporting the detection of fraud, waste, and abuse (FWA). This role is designed for an early-career professional who combines strong technical skills with a desire to learn the nuances of healthcare analytics and compliance. You will contribute directly to protecting healthcare programs by uncovering fraudulent or wasteful billing practices, working alongside experienced investigators and data scientists. Responsibilities include analyzing large healthcare claims datasets to identify anomalies, fraud indicators, and suspicious billing practices. You will write efficient, production-quality code in Python, R, and SQL for data cleaning, transformation, and modeling, as well as build and evaluate predictive and anomaly detection models to generate leads for investigative teams. The role also involves developing, documenting, and automating repeatable workflows in Databricks or similar platforms, collaborating with investigators, compliance staff, and law enforcement partners by translating analytic results into actionable case insights, and crafting dashboards and visualizations in Tableau, Power BI, or Sigma to communicate findings clearly.