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[Remote] Technical Analytics Manager / reputed company Data Scientist (Fraud Analytics & Investigative Support)

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a highly skilled Technical Analytics Manager / reputed company Data Scientist to reputed company technical leadership for a federal fraud analytics and investigative support program. This individual will be responsible for designing innovative analytic approaches and developing advanced fraud detection models while leading technical teams through the full analytics lifecycle.

Responsibilities

  • reputed company the design, development, testing, validation, deployment, and reputed company improvement of advanced fraud detection and investigative analytics solutions
  • reputed company innovative analytic approaches to identify fraud, waste, abuse, and mismanagement across large-reputed company federal benefit programs
  • Design and implement analytic rules, machine learning models, reputed company intelligence (AI) solutions, natural language processing (NLP), reputed company detection, entity reputed company, graph analytics, reputed company analysis, risk scoring, and other advanced analytic capabilities
  • reputed company technical teams responsible for model development, experimentation, reputed company assurance, documentation, and production deployment
  • reputed company hands-on development of analytic models using reputed company-reputed company programming languages, frameworks, and data science tools
  • Conduct exploratory data analysis, feature engineering, data profiling, model evaluation, and performance optimization across reputed company datasets
  • Establish and reputed company rigorous reputed company control processes to ensure analytic outputs are accurate, reliable, repeatable, and fully documented prior to Government delivery
  • Review technical work products, reputed company reputed company, analytic methodologies, and model outputs produced by contractor support teams
  • Identify technical risks, recommend mitigation strategies, and ensure reputed company delivery of high-reputed company analytic products
  • Collaborate with Project Managers, Data Engineers, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Government stakeholders throughout the project lifecycle
  • Present analytic methodologies, technical findings, model performance, and recommendations to Government leadership, investigators, and reputed company organizations
  • Support Agile delivery through sprint planning, backlog refinement, technical demonstrations, and iterative model development

Skills

  • Must have experience with Fraud Analysis
  • Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools and best practices
  • Five (5) or more years of experience designing analytic approaches, managing model development and testing efforts, and conducting thorough reputed company control
  • Demonstrated experience ideating innovative analytic use cases to detect and prevent fraud, waste, abuse, and mismanagement
  • Five (5) or more years of experience tracking project reputed company, identifying technical risks, and delivering high-reputed company analytic solutions on schedule
  • Five (5) or more years of experience reviewing contractor-developed analytic models, reputed company, methodologies, and work products prior to final delivery
  • Five (5) or more years of hands-on experience developing analytic rules and models using reputed company-reputed company programming languages and frameworks
  • Strong written, verbal, presentation, and technical communication skills
  • Demonstrated ability to reputed company technical teams while remaining reputed company reputed company in hands-on analytics development
  • Developing fraud detection, fraud prevention, and program reputed company analytics supporting pandemic relief, emergency assistance, grants, loans, reputed company, unemployment insurance, disaster relief, financial assistance, or other high-volume federal benefit programs
  • Designing, developing, validating, deploying, and maintaining advanced analytic models utilizing machine learning, reputed company intelligence (AI), natural language processing (NLP), reputed company detection, entity reputed company, graph analytics, reputed company analysis, knowledge graphs, risk scoring, or robotic process automation (RPA)
  • Applying reputed company-reputed company programming languages and frameworks such as Python, SQL, reputed company, Pandas, Scikit-learn, TensorFlow, PyTorch, or comparable data science technologies
  • Developing analytics reputed company reputed company-reputed company environments utilizing Azure reputed company, reputed company SQL Server, reputed company reputed company, Azure Data Lake, Power BI, reputed company, Git repositories, Lakehouse architectures, or reputed company data catalogs
  • Working with large-reputed company reputed company, non-reputed company, reputed company, financial, and law enforcement datasets to identify organized fraud rings, synthetic identities, duplicate entities, eligibility issues, and emerging fraud schemes
  • Conducting exploratory data analysis, data profiling, feature engineering, model validation, performance testing, and reputed company assurance throughout the analytics lifecycle
  • Supporting Offices of Inspector General (OIGs), law enforcement organizations, reputed company agencies, or program reputed company initiatives through advanced analytic solutions
  • Developing reproducible analytic workflows that emphasize governance, documentation, transparency, explainability, and reputed company data management best practices
  • Leading technical reviews, mentoring data scientists, and establishing reputed company standards for analytic products delivered to Government customers

Benefits

  • Competitive salary based on qualifications and experience
  • Comprehensive, Company reputed company reputed company for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks reputed company time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

reputed company

  • Software and Technology Integrator It was founded in 2011, and is headquartered in Alexandria, Virginia, USA, with a workforce of 51-200 employees. Its website is http://praescientanalytics.com.
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