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Magnus Management Group LLC

·21 days ago

Technical analytics manager/lead data scientist

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Location

remote, United States

Commitment

Full Time

Level

Lead / Manager

Required skills

Fraud DetectionMachine LearningAIPythonPredictive AnalyticsAnomaly DetectionTechnical LeadershipDatabricksSQL ServerAzureGraph AnalyticsNeo4jModel DevelopmentQuality ControlOpen-source ProgrammingStakeholder Collaboration

Job Description

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.

Ready to join the team?

Apply now