Technical Analytics Manager/Lead Data Scientist

We are seeking Technical Analytics Manager/Lead Data Scientist to lead the design, development, testing, validation, and deployment of advanced analytics, machine learning models, and AI-enabled fraud detection capabilities supporting federal oversight and investigative activities. The successful candidate will provide technical leadership across multiple analytics projects while ensuring high-quality deliverables, mentoring technical teams, and collaborating with government stakeholders to detect fraud, waste, abuse, and mismanagement across large federal benefit programs.

• Should have five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading edge analytic tools and best practices.
• Should have five (5) or more years of hands-on experience designing analytic approaches, managing model development and testing efforts and conducting thorough quality control.
• Must have experience ideating use cases using innovative approaches to detect and prevent fraud, waste, abuse and mismanagement.
• Should have five (5) or more years of tracking project progress and identifying and mitigating risks and issues associated with delivering projects on time and at a high level of quality.
• Should have five (5) or more years of conducting thorough review and quality control on contractor support teams’ work products before analytic models and insights are finalized
• Must have five (5) or more years of hands-on experience coding rules and models using open-source programming techniques and tools.
• Must have strong oral and written skills., * Minimum 5 years developing fraud detection analytics.
• Minimum 5 years designing analytic approaches and managing model development.
• Minimum 5 years coding in Python or other open-source programming languages.
• Experience with machine learning, anomaly detection, predictive analytics, and AI.
• Experience leading technical teams.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Experience supporting federal oversight agencies.
• Experience with Databricks, SQL Server, Azure.
• Experience supporting fraud detection for federal benefit programs.
• Experience with graph analytics and Neo4j.

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, * 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance