Technical Analytics Manager / Lead Data Scientist

New
A
ArdentNational Security
RemoteFull-TimeManager
Salary not disclosed
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Job Details

Experience
Minimum of 5 years
Required Skills
Project ManagementPythonSQLMachine LearningData visualizationRNLP

Requirements

  • Minimum of 5 years of hands-on experience developing analytic rules and models for fraud/waste/abuse detection.
  • Minimum of 5 years of experience designing analytic approaches, managing development, and conducting quality-control reviews.
  • Minimum of 5 years of experience tracking project progress and mitigating risks in analytics projects.
  • Minimum of 5 years of hands-on experience coding analytic rules and models using open-source technologies.
  • Proficiency with Python, R, SQL, or comparable analytics and programming technologies.
  • Experience developing and validating predictive models, anomaly detection, and risk models.
  • Experience working with complex, large-scale, structured and unstructured datasets.
  • Strong leadership, analytical, problem-solving, and project-management skills.
  • Excellent written and verbal communication skills.
  • Ability to successfully complete and maintain the required government background investigation.

Responsibilities

  • Lead the design, development, testing, validation, and deployment of advanced analytics and machine learning solutions.
  • Manage analytics projects supporting fraud detection, waste and abuse identification, and investigative activities.
  • Develop and evaluate predictive models, anomaly detection methods, risk models, and entity-resolution techniques.
  • Identify and refine analytics use cases in collaboration with government stakeholders and program teams.
  • Conduct technical and quality-control reviews of analytics work products before delivery.
  • Support the deployment, monitoring, and maintenance of analytics models in production environments.
  • Collaborate with data engineers to support data ingestion, governance, and quality.
  • Provide technical leadership, mentoring, and guidance to data scientists and analysts.
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