Technical Analytics Manager/Lead Data Scientist

Magnus Management Group LLC

1d•Remote

About The Position

We are seeking a 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.

Requirements

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.
Five (5) or more years of hands-on experience designing analytic approaches, managing model development and testing efforts and conducting thorough quality control.
Experience ideating use cases using innovative approaches to detect and prevent fraud, waste, abuse and mismanagement.
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.
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.
Five (5) or more years of hands-on experience coding rules and models using open-source programming techniques and tools.
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.

Nice To Haves

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.

Responsibilities

Lead the design, development, testing, validation, and deployment of advanced analytics, machine learning models, and AI-enabled fraud detection capabilities.
Provide technical leadership across multiple analytics projects.
Ensure high-quality deliverables.
Mentor technical teams.
Collaborate with government stakeholders to detect fraud, waste, abuse, and mismanagement across large federal benefit programs.