[Hiring] Technical Analytics Manager/Lead Data Scientist @Knowesis

Role Description

Knowesis, Inc. is seeking a highly experienced Technical Analytics Manager/Lead Data Scientist to lead a multidisciplinary team providing end-to-end analytic and investigative support to the Pandemic Response Accountability Committee (PRAC). The PRAC delivers data-driven oversight of pandemic relief and OBBBA Act funds, supporting fraud prevention and detection efforts across federal programs.

The Technical Analytics Manager/Lead Data Scientist will support the PRAC Analytics Center in conducting data analysis and visualization; sharing leading data analytics practices; providing tools and services; and providing investigative intelligence. The PRAC analytic platform develops analytic tools and products in its cloud-based environment.

The Job Duties and Responsibilities include but are not limited to the following:

• Lead and mentor a multidisciplinary team of data scientists, analysts, statisticians, and data engineers.
• Ensure analytic integrity, reproducibility, and compliance across all technical workstreams.
• Communicate complex analytic concepts to senior PRAC leadership, OIG partners, and non-technical stakeholders in clear, actionable terms.
• Oversee risk management, quality assurance, and performance monitoring for all analytic and investigative support activities.
• Foster innovation, continuous improvement, and adoption of best practices in fraud analytics and investigative data science.
• Lead analytic support for investigative case development using open-source, law enforcement, and third-party data sources.
• Produce customized investigative work products such as intelligence reports, link analysis diagrams, entity relationship charts, and fraud scheme visualizations.
• Apply graph analytics (including neo4j) to analyze complex networks and visualize relationships across multi-agency datasets.
• Conduct due diligence and verification of PRAC-developed analytic rules and model outputs to support investigative lead generation.
• Collaborate with OIGs and federal law enforcement partners following CIGIE/PRAC policies for handling law-enforcement-sensitive data.
• Present findings, investigative leads, and analytic insights to OIG and law enforcement stakeholders through briefings, demonstrations, and technical walkthroughs.
• Ensure investigative support workflows, templates, and documentation meet PRAC standards for accuracy, clarity, and evidentiary integrity.
• Conduct market research on emerging analytic tools, AI/ML technologies, data sources, and fraud detection capabilities; provide recommendations aligned with PRAC mission needs and federal policy.
• Collaborate with PRAC’s OCIO, OCISO, and OCDO to evaluate, configure, and integrate approved tools into the PRAC analytic environment.
• Develop iterative implementation plans for new capabilities, ensuring smooth integration, configuration, and operational readiness.
• Support ingestion of new data sources, including schema design, transformation logic, and quality control processes.
• Assist PRAC in evaluating cutting-edge AI and IT tools, providing technical analysis, documentation, and risk considerations to support Government procurement decisions.
• Maintain awareness of emerging fraud schemes, analytic technologies, and cross-program risks to inform future capability development.

Qualifications

• Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading-edge analytic tools, open-source programming techniques, and industry best practices.
• Five (5) or more years of experience designing analytic approaches, managing model development lifecycles, conducting model testing, and performing thorough quality control and validation.
• Demonstrated experience ideating and shaping analytic use cases using innovative approaches to detect and prevent fraud, waste, abuse, and mismanagement.
• Five (5) or more years of experience tracking project progress, identifying risks and issues, and implementing mitigation strategies to ensure timely, high-quality delivery of analytic projects.
• Five (5) or more years of experience conducting detailed review and quality control of contractor or team work products prior to finalizing analytic models, outputs, and insights.
• Five (5) or more years of hands-on coding experience developing analytic rules, models, and pipelines using open-source programming languages and tools (e.g., Python, R, SQL, Spark, etc.).
• Strong oral and written communication skills, including the ability to explain complex analytic concepts to senior leaders, investigators, and non-technical stakeholders.

Preferred Qualifications

• Experience supporting fraud analytics, program integrity, or investigative support within federal oversight environments (e.g., OIGs, law enforcement, PRAC, CIGIE).
• Experience integrating multi-agency or multiprogram datasets to detect complex, emerging fraud schemes in high-risk or time-sensitive environments.
• Experience with graph analytics platforms (e.g., neo4j) and link analysis techniques for identifying hidden relationships and cross-program risks.
• Experience developing or deploying AI/ML models in compliance with federal AI governance frameworks (OMB M-25-22, M-25-21, M-26-04; NIST AI RMF).
• Experience leading or mentoring multidisciplinary analytic teams (data scientists, statisticians, engineers).
• Experience supporting enterprise data management (EDM), data governance, or federal data quality standards.
• Advanced certifications in data science, fraud examination, or analytics (e.g., CFE, Certified Data Scientist, AWS/Azure ML certifications).

Required Education

• Bachelor’s degree (BA/BS) in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative field. Advanced degree preferred.

Benefits

• Health (PPO & HDHP) Insurance
• Dental
• Vision
• STD & LTD
• Basic Life Insurance
• 401k Company Match
• Voluntary Products