As a Data Science Fellow for the PRAC, you will be part of an exciting mission with the opportunity to deliver an impact by transforming data into insights to assist with the oversight of more than $5 trillion in coronavirus relief spending. The Data Science Fellow will provide analytic support based on an identified business need. The Fellowship Program is open to recent graduates and current college and university students.
The primary responsibilities of the fellowship program involve:

• Driving analytic projects with PRAC partners to address identified business needs involving the oversight of covered funds.
• Developing risk scoring models to identify potential instances of fraud, waste, abuse, and mismanagement and prioritize efforts in the areas of greatest risk.
• Analyzing complex datasets to identify actionable insights and communicate results to support data-driven decisions.

More specifically, the Data Science Fellow may:

• Consult with PRAC business partner stakeholders to understand the business need and provide analytic solutions.
• Leverage analytic, statistical, and programming techniques (e.g. SQL, R, Python) to collect, analyze, and interpret large and/or complex datasets to develop data-driven solutions.
• Build and implement risk models and rules, working across the entire model lifecycle to include testing and deployment.
• Implement and validate predictive models in languages such as R and Python, as well as create and maintain statistical models.
• Conduct anomaly detection using various AI/ML techniques.
• Develop dashboards and visualizations to identify trends and patterns.
• Perform extraction, transform and load (ETL) tasks.
• Identify applicable datasets to support the identified use-case, to include commercial, government and open sources.
• Attend ongoing meetings with the project stakeholders providing status updates, communicate outcomes and collaborate on product development.
• Be familiar with at least one programming language (e.g. R, Python).
• Have experience building and implementing analytic models.

The assigned duties for each project will vary depending on business needs.

Conditions of employment

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Qualifications

• A recent graduate from an accredited college or university within the last two years, or
• A current student enrolled in a degree program at an accredited college or university ranked by semester hours as a junior (60-89 hours), senior (90 or more hours), graduate student, or law student; maintaining at least a half-time course load as defined by the educational institution.
• In good academic standing, with a grade point average (GPA) of at least 3.0 on a 4-point scale; and
• A U.S. citizen.
• Fellows may not work in the same program area as a relative.

The candidate should have experience or educational courses/projects building and implementing analytic products using a variety of tools. The candidate should have a basic understanding of analytical statistical, and programming techniques (e.g. R, Python, SQL) and basic knowledge of statistical concepts to analyze data and provide insights. The candidate should have strong communication skills and experience in fraud detection is a plus.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Your application will be evaluated based on your resume reflecting the quality and extent of your total accomplishments, experience and education as they relate to the qualifications described above. Candidates are NOT required to provide narrative response statements to address the qualifications when applying for this vacancy.