Data Scientist: Fraud Analytics & BI (Remote, US)

i3; Washington (District of Columbia); Remote; USD 120,000 - 160,000; Full time

Job summary

i3, LLC seeks a Data Scientist to support OIG programs with advanced analytics, BI, and predictive modeling. The role focuses on data mining, analytics across disparate systems, and producing actionable insights for audit and investigation teams.

The candidate should bring hands-on experience with Databricks, PySpark, Unity Catalog, and graph databases, plus several years of fraud analytics and data management to drive impactful results.

Qualifications

• Five or more years of hands-on experience developing analytic rules and models.
• Five+ years of data management and advanced analytic techniques.
• Five+ years detecting and preventing fraud, waste, abuse and mismanagement.
• Five+ years working in team environments as well as independently.
• Experience using at least two of: R, Python, Power BI, SQL, Tableau, SAS in the last 12 months.

Responsibilities

• Lead data science projects to develop BI solutions, data mining, analytics, and predictive models across large datasets.
• Create visualizations (graphs, charts, interactive maps) and written reports to communicate findings to investigators.

Skills

Data analysis

Fraud detection

Model development

Data mining

Visualization

Team collaboration

Tools

Databricks

PySpark

Unity Catalog

Neo4J

Power BI

SQL

Tableau

SAS

R

Python

Job description

i3, LLC seeks a Data Scientist to support OIG programs with advanced analytics, BI, and predictive modeling. The role focuses on data mining, analytics across disparate systems, and producing actionable insights for audit and investigation teams.

The candidate should bring hands-on experience with Databricks, PySpark, Unity Catalog, and graph databases, plus several years of fraud analytics and data management to drive impactful results.