# Senior Data Scientist (Fraud Detection and Investigative Analytics)

**Company:** [Node.Digital](http://jobs.workable.com/companies/fCusZuQrGRwPCiTwDAqN7M.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Federal

[Apply for this job](http://jobs.workable.com/view/fa959935-9758-4959-ac5b-d13c0504af8b)

## Description

Senior Data Scientist (Fraud Detection and Investigative Analytics)

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

**KEY RESPONSIBILITIES**

-   Review, maintain, and extend all existing loan fraud indicators developed by TSD, and provide authoritative expertise on analytic method selection.
-   Design, develop, test, calibrate, and implement advanced statistical and machine learning models targeting financial fraud, improper payments, and non compliance within SBA programs.
-   Build and refine both supervised and unsupervised models, including regression, Bayesian, clustering, and ensemble approaches, and tune candidate models to determine best fit.
-   Perform data quality analysis on source tables to identify abnormalities and inconsistencies, and develop repeatable processes for combining and analyzing large relational, structured, and unstructured sources.
-   Collaborate directly with criminal investigators to determine and execute analytic strategies supporting loan fraud cases, adapting analysis as case needs shift and proactively surfacing data quality issues.
-   Adhere closely to the federal rules of criminal procedure governing protected information, including Rule 6(e).
-   Develop case leads for SBA OIG investigations from model outcomes.
-   Document all methodology, test models, and production models in a form that satisfies criminal evidentiary requirements.
-   Build visualizations and dashboards that convey methodological choices, outcomes, and predictive capability, and iterate them on end user feedback.
-   Deliver findings in multiple registers: data summaries and visualizations for investigative staff, executive summaries for OIG leadership.
-   Coordinate with the data engineering seat so the architecture supports machine learning efficiently.
-   Create programming and automation techniques that improve task efficiency using SharePoint, Python, Excel, Power BI, Power Apps, and similar tools.
-   Identify new business questions that expand the scope of analysis and reporting.

## Requirements

**Required:**

**Education**

Master's, Ph.D., or doctorate level equivalent degree in data science, machine learning, computer science, mathematics, or a related field. Alternatively, ten years of applied work experience in any of the same fields.

-   5+ years Designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised models.
-   5+ years Developing analytic rules and models using leading edge analytic tools and best practices.
-   5+ years Developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
-   3+ years Providing data support for criminal investigations into financial fraud or abuse of government funds.
-   3+ years Manipulating data in Python. Pandas is required.
-   3+ years Working in a modern cloud environment: Azure, AWS, or GCP. Certifications preferred.
-   2+ years Conducting advanced data analysis in SQL, specifically SQL Server and PostgreSQL.
-   2+ years Developing and scaling natural language processing solutions.
-   2+ years Presenting methods and findings to technical and non technical stakeholders, both orally and in written products and visualizations.

**PREFERRED QUALIFICATIONS**

-   Cloud certification in Azure, AWS, or GCP.
-   Direct experience with SBA loan programs, including 7(a), 504, EIDL, or PPP, or with comparable federal lending or grant fraud.
-   Entity resolution, record linkage, or graph and network analysis applied to fraud.
-   Experience producing analytic products that were used in a criminal referral or prosecution.
-   Model explainability practice such as SHAP or comparable feature attribution methods.

## Benefits

We are proud to offer competitive compensation and benefits packages to include

-   Medical 
-   Dental
-   Vision
-   Basic Life 
-   Health Saving Account
-   401K matching
-   Three weeks of PTO/Sick
-   11 Paid Holidays
-   Pre-Approved Online Training