Note: The job is a remote job and is open to candidates in USA. Ardent is seeking a Technical Analytics Manager / Lead Data Scientist to lead advanced analytics, artificial intelligence, and machine learning initiatives supporting fraud prevention and program integrity within a federal environment. This role involves providing technical leadership across analytics projects and collaborating with various stakeholders to develop and deploy defensible analytics solutions.

Responsibilities

• Lead the design, development, testing, validation, and deployment of advanced analytics and machine learning solutions
• Manage analytics projects supporting fraud detection, fraud prevention, waste and abuse identification, and investigative activities
• Develop and evaluate predictive models, anomaly detection methods, risk models, and entity-resolution techniques
• Lead the development of analytics solutions using artificial intelligence, machine learning, natural language processing, graph analytics, and data visualization
• Identify and refine analytics use cases in collaboration with government stakeholders, investigators, and program teams
• Translate business, investigative, and operational requirements into technical analytics solutions
• Lead technical discovery, data assessment, feature development, model selection, and solution design activities
• Evaluate model performance, identify gaps, and recommend refinements or recalibration as needed
• Ensure analytics models and outputs are accurate, explainable, defensible, repeatable, and aligned with project objectives
• Track project progress, risks, issues, dependencies, and quality-control activities
• Conduct technical reviews and quality-control reviews of analytics work products before delivery
• Review code, models, documentation, data transformations, and analytic outputs for accuracy and completeness
• Support the deployment, monitoring, maintenance, and ongoing improvement of analytics models in production environments
• Collaborate with data engineers and data-management teams to support data ingestion, preparation, governance, quality, and lineage
• Develop and maintain technical documentation describing methodologies, data sources, model designs, assumptions, findings, and limitations
• Present analytical findings, technical recommendations, and project updates to technical and non-technical stakeholders
• Provide technical leadership, mentoring, and guidance to data scientists, analysts, and other project personnel

Skills

• Minimum of 5 years of hands-on experience developing analytic rules and models for fraud detection, fraud prevention, waste and abuse detection, investigative analytics, or related use cases
• Minimum of 5 years of hands-on experience designing analytic approaches, managing model development and testing efforts, and conducting quality-control reviews
• Experience identifying use cases involving innovative approaches to detect and prevent fraud, waste, abuse, or mismanagement
• Minimum of 5 years of experience tracking project progress and identifying and mitigating risks and issues associated with analytics projects
• Minimum of 5 years of experience conducting technical reviews and quality-control reviews of contractor or project-team work products before delivery
• Minimum of 5 years of hands-on experience coding analytic rules and models using open-source programming technologies and tools
• Experience developing and validating predictive models, anomaly detection solutions, risk models, or other advanced analytics capabilities
• Experience working with complex, large-scale, structured and unstructured datasets
• Experience with Python, R, SQL, or comparable analytics and programming technologies
• Experience supporting data preparation, feature engineering, model evaluation, and performance monitoring activities
• Experience communicating analytical methods, findings, limitations, and recommendations to technical and non-technical audiences
• Strong leadership, analytical, problem-solving, and project-management skills
• Strong written and verbal communication skills
• Ability to successfully complete and maintain the required government background investigation
• Experience supporting federal fraud prevention, program-integrity, investigative, or oversight initiatives
• Experience working with Offices of Inspectors General, law enforcement organizations, or federal benefit programs
• Experience developing analytics solutions involving artificial intelligence, machine learning, natural language processing, graph analytics, or generative AI
• Experience with entity resolution, relationship analysis, identity matching, or risk scoring
• Experience with Azure Databricks, Microsoft SQL Server, Microsoft Power BI, Neo4j, or similar platforms
• Experience deploying and maintaining analytics solutions within cloud-based or enterprise data environments
• Experience supporting model governance, explainability, validation, auditability, and ongoing performance monitoring
• Experience mentoring or leading teams of data scientists, analysts, or technical specialists
• Master's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field

Benefits

• Competitive pay
• Comprehensive health coverage
• Flexible PTO
• Federal holidays off
• Tuition reimbursement
• Professional development support
• Wellness stipends
• A culture that values and rewards hard work, dedication, and adaptability

Company Overview