Job description

Location: Remote (Occasional Travel May Be Required) Clearance: U.S. Citizenship Required; Public Trust Praescient Analytics is seeking highly skilled technical professionals to support the SBA OIG Technology Solutions Division (TSD). TSD utilizes massive volumes of data from federal, public, and private sectors to conduct critical audits and criminal investigations aimed at protecting the nation's economy and identifying fraud, waste, and abuse. Selected candidates will provide expert technical support within an advanced Azure cloud environment to design fraud identification methods, optimize data architecture, and generate actionable insights for law enforcement and executive leadership. Position Overview: As a Senior Data Scientist, you will design, implement, and maintain advanced fraud identification models and communicate analytical results to critical stakeholders. You will collaborate closely with criminal investigators to develop targeted predictive models, integrate natural language processing (NLP) into workflows, and establish repeatable analytical methods for massive datasets. Key Responsibilities: • Model Development: Design, test, and deploy supervised and unsupervised machine learning models (regression, Bayesian, clustering, ensemble algorithms) to detect fraud, improper payments, or non-compliance. • Investigative Collaboration: Partner directly with criminal investigators to execute strategies supporting active cases, adapt analyses to shifting needs, and adhere to federal rules governing protected information (e.g., Rule 6(e)). • Text & NLP Analytics: Scale NLP methods to parse, clean, and analyze unstructured text data using OCR, semantic similarity, and Large Language Models (LLMs). • Data Quality & Visualization: Perform data cleaning and quality analysis on source tables. Create dashboards and visualizations (via Power BI, Python, etc.) to present methodology and findings to technical and executive leadership. • Compliance Documentation: Maintain thorough records and detailed methodology documentation compliant with criminal evidentiary requirements. Required Qualifications: • Education: Master’s, Ph.D., or doctorate-level equivalent degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of applied work experience in these fields. • 5+ Years of Hands-on Experience in: • Designing, implementing, and maintaining advanced AI systems and predictive models (supervised/unsupervised). • Developing analytic rules and models using leading-edge fraud analytics tools and best practices. • Developing regression, classification, and statistical models to identify anomalies, patterns, and predictive variables. • 3+ Years of Hands-on Experience in: • Providing data support for criminal investigations into fraud or abuse. • Manipulating data in Python utilizing Pandas (required). • Working in modern cloud environments (Azure preferred, AWS, or GCP; certifications a plus). • 2+ Years of Hands-on Experience in: • Advanced SQL data analysis (specifically SQL Server and PostgreSQL). • Developing and scaling NLP solutions. • Presenting technical methods and findings orally and via written products/visualizations to diverse stakeholders. The projected compensation range for this position is $120,000.00 to $165,000.00 (annualized USD). What We're Looking For: We're looking for technically curious data scientists who enjoy exploring emerging technologies and applying them to real-world investigative challenges. Whether your expertise lies in machine learning, large language models, graph analytics, relationship discovery, or advanced AI techniques, you'll help build innovative analytical capabilities that strengthen government oversight, accelerate fraud detection, and support investigators in protecting the integrity of federal programs. What you can expect from us: • Real opportunity for career growth in an environment where your achievements will be celebrated • Constant collaboration with numerous teams to ensure client success • A team that respects and embraces your ideas and expertise • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain • A workplace dedicated to supporting and bettering public safety and government agencies Benefits: • Competitive salary based on qualifications and experience • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles) • 401(k) with company match • Travel & performance incentives • 3 weeks paid time off (plus Federal Holidays) • $5K annual training allowance • $500 book allowance • Tuition reimbursement program Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law. Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient’s employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. US Citizenship Required Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

Requirements

Must-haves

Location: Remote (Occasional Travel May Be Required)
Clearance: U.S. Citizenship Required; Public Trust
Model Development: Design, test, and deploy supervised and unsupervised machine learning models (regression, Bayesian, clustering, ensemble algorithms) to detect fraud, improper payments, or non-compliance.
Text & NLP Analytics: Scale NLP methods to parse, clean, and analyze unstructured text data using OCR, semantic similarity, and Large Language Models (LLMs).
Compliance Documentation: Maintain thorough records and detailed methodology documentation compliant with criminal evidentiary requirements.
Education: Master’s, Ph.D., or doctorate-level equivalent degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR 10 years of applied work experience in these fields.
Designing, implementing, and maintaining advanced AI systems and predictive models (supervised/unsupervised).
Developing analytic rules and models using leading-edge fraud analytics tools and best practices.
Developing regression, classification, and statistical models to identify anomalies, patterns, and predictive variables.
Providing data support for criminal investigations into fraud or abuse.
Manipulating data in Python utilizing Pandas (required).
Advanced SQL data analysis (specifically SQL Server and PostgreSQL).
Developing and scaling NLP solutions.
Presenting technical methods and findings orally and via written products/visualizations to diverse stakeholders.
The projected compensation range for this position is $120,000.00 to $165,000.00 (annualized USD).
Real opportunity for career growth in an environment where your achievements will be celebrated
Constant collaboration with numerous teams to ensure client success
A team that respects and embraces your ideas and expertise
Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
A workplace dedicated to supporting and bettering public safety and government agencies

Nice-to-haves

Working in modern cloud environments (Azure preferred, AWS, or GCP; certifications a plus).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuremachine learningpythonaiawsgcpsql

Platform: applicantstack
Effort: medium

Benefits

Benefits detected in the listing.

Vision

401(K)

Paid Time Off