Data Scientist (Fraud Analytics & Investigative Support)

Location: Remote (Occasional Travel May Be Required)

Clearance: Ability to obtain and maintain a Public Trust

Position Overview

Praescient Analytics is seeking multiple Data Scientists to support advanced fraud analytics and investigative initiatives for a federal oversight organization. These positions will develop, test, validate, and deploy innovative analytical solutions that help identify fraud, waste, abuse, and mismanagement across large-scale federal benefit programs and other government-funded initiatives.

Working as part of a multidisciplinary analytics team, Data Scientists will leverage statistical analysis, machine learning, data visualization, entity resolution, and risk modeling techniques to transform large, diverse datasets into actionable intelligence supporting investigators, auditors, and government decision-makers.

The ideal candidate is a technically strong, mission-focused data scientist who enjoys solving complex analytical problems while collaborating with investigators, business analysts, data engineers, forensic accountants, and government stakeholders.

Key Responsibilities

• Develop, test, validate, and maintain fraud detection and program integrity analytics.
• Design analytical rules and methodologies to identify fraud indicators, anomalies, suspicious activity, and emerging risks.
• Perform exploratory data analysis, feature engineering, model development, validation, and performance evaluation.
• Analyze structured and unstructured data from multiple public, non-public, commercial, financial, and government data sources.
• Collaborate with Data Engineers to prepare and optimize data for analytics.
• Support entity resolution, anomaly detection, predictive analytics, and risk scoring initiatives.
• Produce dashboards, reports, visualizations, and analytical products that support investigative decision-making.
• Document analytical methodologies, assumptions, validation results, and technical findings.
• Participate in Agile delivery activities including sprint planning, demonstrations, peer reviews, and iterative model development.

Required Qualifications

• Must have experience with Fraud Analysis
• Three (3) or more years of professional experience in data science, applied analytics, machine learning, statistics, fraud analytics, or a related quantitative field.
• Strong programming experience using Python and SQL.
• Experience developing and validating analytical models.
• Experience analyzing structured and unstructured datasets.
• Experience documenting analytical methodologies and technical findings.
• Strong analytical reasoning and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

• Fraud detection, fraud prevention, financial crime analytics, or program integrity.
• Federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs.
• Risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling.
• Cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures.
• Working with public, non-public, commercial, financial, or cross-agency datasets.
• Data visualization and dashboard development.
• Agile software development and analytics teams.
• Enterprise data governance, metadata management, and data quality best practices.

What We're Looking For

We're looking for curious, collaborative data scientists who enjoy using data to solve challenging fraud detection problems. The ideal candidate combines strong analytical skills with a passion for supporting government oversight and investigative missions through innovative, data-driven solutions.

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 View email address on click.appcast.io and please visit our website to apply online at