Technical Analytics Manager/Lead Data Scientist
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AI Summary
Lead the design and deployment of advanced analytics and AI-enabled fraud detection capabilities for federal oversight activities. Provide technical leadership and mentorship to teams while collaborating with government stakeholders to prevent waste and abuse.
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
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.
Responsibilities:
- 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 Qualifications
- 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.
This is a remote position.
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