Senior Data Scientist - Machine Learning

Clearance Level None Category Data Science and Data Engineering Location Remote, Working from the USA

Key Skills For Success Amazon Web Services (AWS)

Healthcare Claims

Predictive Modeling

Python (Programming Language)

Supervised Learning

##### REQ#:RQ225761

##### Public Trust:None

##### Requisition Type:Regular

##### Your Impact

Own your opportunity to be on the frontlines of health innovation. Deliver for America’s health agency missions and enhance lives for hundreds of millions every day.

Job Description

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As the Senior Data Scientist for Machine Learning supporting the Healthcare Fraud Prevention Partnership (HFPP), you will be the first dedicated machine learning practitioner at the Trusted Third Party (TTP), an established Fraud, Waste and Abuse (FWA) analytics program. You will develop predictive models against a multi-billion record claims warehouse assembled from dozens of public and private healthcare payers, and you will establish how machine learning models move from development into production on this program.

The data, the subject matter experts and the payer partnerships are already in place; the modeling capability is yours to build. This is a senior individual contributor position without direct reports, and it is the only role on the team focused primarily on machine learning, meaning the Senior Data Scientist will be establishing practice rather than joining one.

***Work visa sponsorship will not be provided for this position. This is a remote role. Candidates must reside in the United States.

MEANINGFUL WORK AND PERSONAL IMPACT

• Designing, training and validating supervised models that score providers and billing patterns for FWA risk, using investigative case-level data, payer feedback on referred leads, and public exclusion and enforcement data as labels, including the entity resolution to link enforcement records to providers in claims.
• D