Technical Analytics Manager – Lead Data Scientist

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🕒 July 2

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Ardent

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Ardent is a premier technology firm serving the public sector, focused on delivering mission-critical solutions. They specialize in data science and analytics, digital transformation, and location intelligence, helping organizations to make better decisions, modernize their systems, and decode spatial data. Ardent is committed to defending against man-made and natural threats, providing effective solutions such as cloud applications, cybersecurity, and spatial data science. They work closely with federal agencies, including the Department of Homeland Security, to ensure national safety. Their solutions are tailored to thrive in complex environments, proven in case studies, and delivered with the speed and precision required by their clients' missions.

📋 Description

• 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