Technical Analytics Manager / Lead Data Scientist

Job summary

At ARD***, we hire people who want more than a job — they want to serve a mission that matters. Our teams support the federal government's most critical national security and defense priorities, helping protect the nation, strengthen resilience, and advance the technologies and capabilities that keep America secure.

Benefits

Qualifications

• 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.

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

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