Remote Graph Data Scientist — Fraud Analytics

Praescient Analytics; Fairfax (VA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive healthcare

401(k) with company match

Paid time off

$5K annual training allowance

Tuition reimbursement program

Job summary

Praescient Analytics is seeking a Graph Data Scientist to develop advanced graph analytics focused on federal fraud detection. This role requires expertise in graph databases like Neo4j, applying machine learning and statistical analysis to large datasets to uncover hidden relationships.

The ideal candidate will collaborate with various teams, possess at least three years of experience in fraud analysis, and have strong programming skills in Python. Competitive salary and comprehensive benefits are included.

Qualifications

• Three or more years of experience developing graph analytics using Neo4j.
• Experience applying statistical analysis and machine learning to graph data.
• Strong Python skills with standard data science libraries.

Responsibilities

• Design, develop, and maintain graph-based analytic solutions.
• Build and optimize graph databases and schemas using Neo4j.
• Develop graph queries to identify hidden relationships.

Skills

Graph theory expertise

Neo4j

Graph-based machine learning

Python programming

Fraud analysis

Education

Relevant degree

Tools

Cypher

NetworkX

Pandas

Job description

Praescient Analytics is seeking a Graph Data Scientist to develop advanced graph analytics focused on federal fraud detection. This role requires expertise in graph databases like Neo4j, applying machine learning and statistical analysis to large datasets to uncover hidden relationships.

The ideal candidate will collaborate with various teams, possess at least three years of experience in fraud analysis, and have strong programming skills in Python. Competitive salary and comprehensive benefits are included.