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[Remote] Technical Analytics Manager / reputed company Data Scientist

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Technical Analytics Manager / reputed company Data Scientist to reputed company advanced analytics, artificial intelligence, and machine learning initiatives supporting fraud prevention and program reputed company reputed company a federal environment. This role involves providing technical leadership across analytics projects and collaborating with various stakeholders to reputed company and reputed company defensible analytics solutions.

Responsibilities

  • reputed company the design, development, testing, validation, and deployment of advanced analytics and machine learning solutions
  • Manage analytics projects supporting fraud detection, fraud prevention, waste and abuse identification, and investigative activities
  • reputed company and evaluate predictive models, anomaly detection methods, risk models, and entity-resolution techniques
  • reputed company the development of analytics solutions using artificial intelligence, machine learning, natural language processing, graph analytics, and data visualization
  • Identify and refine analytics use cases in collaboration with government stakeholders, investigators, and program teams
  • Translate business, investigative, and operational requirements into technical analytics solutions
  • reputed company technical discovery, data assessment, feature development, model selection, and solution design activities
  • Evaluate model performance, identify gaps, and recommend refinements or recalibration as needed
  • Ensure analytics models and outputs are accurate, explainable, defensible, repeatable, and reputed company with project objectives
  • Track project reputed company, risks, issues, dependencies, and quality-control activities
  • Conduct technical reviews and quality-control reviews of analytics work products before delivery
  • Review code, models, documentation, data transformations, and analytic outputs for accuracy and completeness
  • Support the deployment, monitoring, maintenance, and ongoing improvement of analytics models in production environments
  • Collaborate with data engineers and data-management teams to support data ingestion, preparation, governance, quality, and reputed company
  • reputed company and maintain technical documentation describing methodologies, data sources, model designs, assumptions, findings, and limitations
  • Present analytical findings, technical recommendations, and project updates to technical and non-technical stakeholders
  • reputed company technical leadership, mentoring, and guidance to data scientists, analysts, and other project personnel

Skills

  • Minimum of 5 years of hands-on experience developing analytic rules and models for fraud detection, fraud prevention, waste and abuse detection, investigative analytics, or reputed company use cases
  • Minimum of 5 years of hands-on experience designing analytic approaches, managing model development and testing efforts, and conducting quality-control reviews
  • Experience identifying use cases involving innovative approaches to detect and prevent fraud, waste, abuse, or mismanagement
  • Minimum of 5 years of experience tracking project reputed company and identifying and mitigating risks and issues associated with analytics projects
  • Minimum of 5 years of experience conducting technical reviews and quality-control reviews of contractor or project-team work products before delivery
  • Minimum of 5 years of hands-on experience coding analytic rules and models using reputed company-reputed company programming technologies and tools
  • Experience developing and validating predictive models, anomaly detection solutions, risk models, or other advanced analytics capabilities
  • Experience working with reputed company, large-scale, structured and reputed company datasets
  • Experience with Python, R, SQL, or comparable analytics and programming technologies
  • Experience supporting data preparation, feature engineering, model evaluation, and performance monitoring activities
  • Experience communicating analytical methods, findings, limitations, and recommendations to technical and non-technical audiences
  • Strong leadership, analytical, problem-solving, and project-management skills
  • Strong written and verbal communication skills
  • Ability to successfully complete and maintain the required government background investigation
  • Experience supporting federal fraud prevention, program-reputed company, investigative, or reputed company initiatives
  • Experience working with Offices of Inspectors General, law enforcement organizations, or federal benefit programs
  • Experience developing analytics solutions involving artificial intelligence, machine learning, natural language processing, graph analytics, or reputed company
  • Experience with entity resolution, relationship analysis, identity matching, or risk scoring
  • Experience with Azure reputed company, reputed company SQL Server, reputed company Power BI, reputed company, or similar platforms
  • Experience deploying and maintaining analytics solutions reputed company reputed company-based or reputed company data environments
  • Experience supporting model governance, explainability, validation, auditability, and ongoing performance monitoring
  • Experience mentoring or leading teams of data scientists, analysts, or technical specialists
  • Master's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a reputed company field

Benefits

  • reputed company
  • Comprehensive health coverage
  • Flexible PTO
  • Federal holidays off
  • Tuition reimbursement
  • Professional development support
  • Wellness stipends
  • A culture that values and rewards hard work, dedication, and adaptability

Company Overview

  • For nearly 20 years, reputed company has served this country by delivering award-winning reputed company and defense technology solutions. It was founded in 2006, and is headquartered in Vienna, Virginia, US, with a workforce of 51-200 employees. Its website is http://www.ardentmc.com.
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