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.
Magnus Management Group LLC is an ISO 9001, ISO 27001, ISO 20000, ISO56002 and CMMI Level 3 (SVC) + SSD certified, and agile Highly Adaptive Cybersecurity Services (HACS) qualified Woman Owned Small Business (WOSB) as evaluated by US General Services Administration (GSA) cyber Subject Matter Experts (SMEs). Our experience and investments in quality and certification of our expertise has refined our mission support, information technology, information management, management consulting and cybersecurity solutions by supporting highly complex Information Technology (IT) environments.
