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