Data Scientist

The Job Duties and Responsibilities include but are not limited to the following:

Build, test, validate, and deploy fraud detection rules and models, including data matching, entity resolution, anomaly detection, risk scoring, natural language processing, and machine learning.
Profile data, find gaps, and run exploratory analysis before modeling. 
Maintain and recalibrate models already in production. 
Build Microsoft Power BI charts and dashboards that explain results. 
Check rule and model results with investigators to confirm they hold up. 
Document methods, commented code, findings, and data issues so work passes quality review. 
Take part in two-week sprints and use only AI tools the PRAC has approved.

Required Qualifications:

3+ years of hands-on experience applying statistics or machine learning to real-world data. 
Strong Python and SQL skills and experience with standard machine learning libraries. 
Experience with at least one of: entity resolution, anomaly detection, or classification models.
Clear writing and the ability to explain results to people who are not data scientists. 
Bachelor's degree in data science, statistics, computer science, mathematics, or a related field, or equal experience. 
Ability to obtain and keep a Public Trust.

Preferred Qualifications:

Experience in fraud, program integrity, or financial crimes. 
Experience with Azure Databricks or Spark. 
Experience with Microsoft Power BI or Neo4j. 
Experience with natural language processing or large language models. 
Master's degree in a quantitative field.