Remote US Data Scientist - Fraud Analytics & BI

i3 Consulting; Washington (District of Columbia); Remote; USD 120,000 - 180,000; Full time

Job summary

i3 Consulting seeks a Data Scientist to support OIG mission analytics via the PACE platform. You will lead data science projects spanning data mining, analytics, and predictive modeling across vast datasets, delivering visualizations and reports.

Required are five+ years in fraud analytics, data management, and ML deployment, with Databricks, PySpark and Neo4J experience. US residency and clearance are preferred. This is a remote US-position with national scope.

Qualifications

• Five or more years of hands-on experience developing analytic rules and models using best practices in fraud analytics.
• Five or more years of hands-on experience in data management and advanced analytic techniques, current within the last 6 months.
• Five or more years of experience using data sciences to identify, detect and prevent fraud, waste, abuse and mismanagement, current within the last 6 months.
• Five or more years of experience working in team environments as well as independently.
• Within the last 12 months, experience using at least two other software packages or programming languages from R, Python, Power BI, SQL, Tableau, SAS.

Responsibilities

• Lead data science projects to develop BI solutions combining data mining, analytics and predictive analysis across diverse data sources.
• Build and deploy models using Databricks, PySpark MLlib and Unity Catalog for governance and model management.
• Create visualizations (graphs, maps) and write reports to communicate audit and investigative insights.

Skills

Data mining

Data analytics

Predictive analysis

Tools

Databricks

PySpark

Unity Catalog

Neo4J

R

Python

Power BI

SQL

Tableau

SAS

Job description

i3 Consulting seeks a Data Scientist to support OIG mission analytics via the PACE platform. You will lead data science projects spanning data mining, analytics, and predictive modeling across vast datasets, delivering visualizations and reports.

Required are five+ years in fraud analytics, data management, and ML deployment, with Databricks, PySpark and Neo4J experience. US residency and clearance are preferred. This is a remote US-position with national scope.