Technical Analytics Manager – Lead Data Scientist
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Job Description
Technical Analytics Manager leading advanced analytics and machine learning initiatives at Ardent. Driving fraud prevention and program integrity solutions within a federal environment.
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.
Requirements:
- 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.
Benefits:
- competitive pay
- comprehensive health coverage
- flexible PTO
- federal holidays off
- tuition reimbursement
- professional development support
- wellness stipends
- culture that values and rewards hard work, dedication, and adaptability
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