Senior Data Scientist - Fraud Analytics (Remote)

Node.Digital LLC; Herndon (VA); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Basic Life

Health Savings Account

401K matching

Three weeks of PTO/Sick

11 Paid Holidays

Pre-Approved Online Training

Job summary

Node.Digital LLC in Herndon, VA is seeking a highly skilled data scientist to support SBA loan fraud investigations. You will design and implement ML models, coordinate with investigators, and ensure data quality and evidentiary standards across complex datasets.

The role emphasizes building scalable analytics, presenting methods and findings to technical and non-technical stakeholders, and delivering insights via dashboards and reports for leadership and investigators.

Qualifications

• Advanced degree or 10 years of equivalent experience in data science, ML or related fields.
• 5+ years designing and maintaining advanced AI systems and predictive models.
• 3+ years Python data manipulation; Pandas required.
• 2+ years cloud experience (Azure/AWS/GCP); certifications preferred.

Responsibilities

• Review, maintain, and extend loan fraud indicators and provide expert analytics method selection.
• Design, develop, test, calibrate, and implement ML models for fraud, improper payments, and non‑compliance in SBA programs.
• Build supervised and unsupervised models (regression, Bayesian, clustering, ensembles) and tune for best fit.
• Conduct data quality analysis and develop repeatable processes for large structured/unstructured data.

Skills

AI systems design

ML model development

Python (Pandas)

SQL (SQL Server & PostgreSQL)

Cloud computing (Azure AWS GCP)

Data visualization

Statistical analysis

Experimentation & validation

Communicating findings

Education

Master's or Ph.D. in data science / related field

10 years of applied work experience

Tools

SharePoint

Power BI

Power Apps

Excel

Python

Job description

Node.Digital LLC in Herndon, VA is seeking a highly skilled data scientist to support SBA loan fraud investigations. You will design and implement ML models, coordinate with investigators, and ensure data quality and evidentiary standards across complex datasets.

The role emphasizes building scalable analytics, presenting methods and findings to technical and non-technical stakeholders, and delivering insights via dashboards and reports for leadership and investigators.