Praescient Analytics

Role Description 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. 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 - Experience in fraud detection, fraud prevention, financial crime analytics, or program integrity. - Familiarity with federal benefit programs, grants, loans, healthcare, unemployment insurance, emergency assistance, disaster relief, or other public-sector programs. - Knowledge of risk modeling, anomaly detection, entity resolution, predictive analytics, and statistical modeling. - Experience with cloud analytics environments such as Azure Databricks, Microsoft SQL Server, Microsoft Fabric, Azure Data Lake Storage (ADLS), Power BI, Git repositories, or Lakehouse architectures. - Experience working with public, non-public, commercial, financial, or cross-agency datasets. - Skills in data visualization and dashboard development. - Experience in Agile software development and analytics teams. - Understanding of enterprise data governance, metadata management, and data quality best practices. 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.

Role Description Praescient Analytics is seeking an experienced Senior Investigative Analyst to support federal fraud detection, investigative analysis, and program integrity initiatives. This individual will analyze structured and unstructured data from a wide range of public and non-public sources to identify fraud indicators, develop investigative leads, and produce high-quality intelligence products supporting Offices of Inspector General (OIGs), law enforcement, and government oversight organizations. The ideal candidate is an analytical problem solver with experience investigating complex fraud schemes involving government benefit programs and financial crimes. They are equally comfortable conducting detailed research, analyzing large datasets, identifying patterns and relationships, and transforming complex findings into clear investigative products that support operational decision-making. Key Responsibilities - Conduct investigative analysis supporting fraud, waste, abuse, and mismanagement investigations involving federal benefit programs and other government-funded initiatives. - Analyze structured and unstructured data from public, non-public, commercial, financial, and law enforcement sources to identify fraud indicators, emerging patterns, and investigative leads. - Research and evaluate fraud typologies, suspicious activities, and complex entity relationships associated with government benefit fraud and financial crimes. - Develop investigative reports, referral packages, case summaries, intelligence products, and briefing materials suitable for referral to law enforcement and oversight organizations. - Perform link analysis and relationship analysis using SQL, Neo4j, i2 Analyst's Notebook, and comparable investigative analysis platforms. - Identify organized fraud rings, synthetic identities, eligibility fraud, identity theft, cross-program fraud, and other complex fraud schemes through data-driven investigative techniques. - Collaborate with Data Scientists, Graph Data Scientists, Data Engineers, Forensic Accountants, and Government investigators to integrate analytic findings into comprehensive investigative products. - Validate investigative findings, document analytical methodologies, and maintain detailed case documentation supporting investigative conclusions. - Present investigative findings, analytical assessments, and recommendations to Government leadership, investigators, and oversight stakeholders. - Support continuous improvement of investigative methodologies by incorporating new analytic techniques, emerging data sources, and evolving fraud indicators. Qualifications - Three (3) or more years of professional experience conducting investigative analysis supporting government benefit fraud, financial crimes, or comparable investigative missions. - Three (3) or more years of experience analyzing structured and unstructured data from public and non-public data sources to identify fraud indicators, suspicious patterns, and investigative leads. - Strong working knowledge of fraud typologies relevant to government benefit programs, including identity fraud, eligibility fraud, organized fraud rings, synthetic identity schemes, and related financial crimes. - Proficiency with analytical tools including SQL, Microsoft Excel, Neo4j, i2 Analyst's Notebook, or comparable link analysis and investigative platforms. - Three (3) or more years of experience preparing investigative reports, referral packages, intelligence products, and case summaries suitable for law enforcement or oversight organizations. - Excellent written and verbal communication skills, including the ability to clearly present investigative findings to senior Government stakeholders. - Strong analytical reasoning, critical thinking, and problem-solving skills with exceptional attention to detail. Preferred Qualifications - Preference will be given to candidates with demonstrated experience in one or more of the following areas: - Supporting investigations involving pandemic relief, emergency assistance, grants, loans, unemployment insurance, healthcare fraud, disaster relief, financial assistance programs, or other large-scale federal benefit programs. - Working with Offices of Inspector General (OIGs), federal law enforcement agencies, financial crime task forces, intelligence organizations, prosecutors, or other government oversight entities. - Identifying fraud typologies including synthetic identity fraud, organized fraud rings, account takeover, identity theft, eligibility fraud, shell companies, nominee entities, and cross-program fraud schemes. - Applying advanced analytical techniques such as entity resolution, link analysis, graph analytics, network analysis, anomaly detection, geospatial analysis, or open-source intelligence (OSINT) to support investigations. - Utilizing investigative tools such as Neo4j, i2 Analyst's Notebook, SQL, Power BI, Microsoft Excel, visualization platforms, or comparable investigative analysis technologies. - Producing investigative work products including intelligence reports, lead packages, link analysis diagrams, timeline analysis, executive briefings, and referral documentation supporting criminal, civil, or administrative investigations. - Conducting due diligence research utilizing public records, commercial databases, financial records, corporate records, sanctions data, and other investigative information sources. - Collaborating within multidisciplinary investigative teams that include data scientists, forensic accountants, intelligence analysts, graph data scientists, and technical specialists. - Supporting high-volume investigative environments requiring rapid identification of emerging fraud schemes, investigative prioritization, and timely delivery of actionable intelligence. 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