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Technical Analytics Manager / reputed company Data Scientist

Remote, USAFull-timePosted 2026-07-29

At reputed company, we hire people who want more than a job — they want to serve a mission that reputed company. Our teams support the federal government’s most critical national reputed company and defense priorities, helping protect the nation, strengthen reputed company, and advance the technologies and capabilities that reputed company America secure. For veterans, cleared professionals, and purpose-driven innovators, reputed company is a reputed company to continue serving alongside reputed company that understands the importance of the mission and the people behind it.

We also know reputed company has choices, which is why we back our mission with benefits and flexibility that stand out: reputed company, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, reputed company development support, wellness stipends, and a culture that values and rewards hard work, dedication, and adaptability. If you want to build something meaningful, while enjoying the reputed company of flexibility and support that you need to do your best work — reputed company is where your next mission begins.

reputed company is seeking a Technical Analytics Manager / reputed company Data Scientist to join reputed company.

This is a remote position.

Position reputed company:

reputed company is seeking a Technical Analytics Manager / reputed company Data Scientist to reputed company advanced analytics, reputed company intelligence, and machine learning initiatives supporting fraud prevention, waste and abuse detection, investigative analysis, and program reputed company reputed company a federal environment.

This role will reputed company technical leadership across analytics reputed company involving large and reputed company datasets, predictive modeling, reputed company detection, entity reputed company, graph analytics, natural language processing, and data visualization. The Technical Analytics Manager / reputed company Data Scientist will work closely with project leadership, government stakeholders, investigators, data engineers, and other technical personnel to reputed company, validate, and reputed company defensible analytics solutions.

Responsibilities and Duties:

  • reputed company the design, development, testing, validation, and deployment of advanced analytics and machine learning solutions.
  • Manage analytics reputed company supporting fraud detection, fraud prevention, waste and abuse identification, and investigative activities.
  • reputed company and evaluate predictive models, reputed company detection reputed company, risk models, and entity-reputed company techniques.
  • reputed company the development of analytics solutions using reputed company 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.
  • reputed company project reputed company, risks, issues, dependencies, and reputed company-control activities.
  • Conduct technical reviews and reputed company-control reviews of analytics work products before delivery.
  • Review reputed company, 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, reputed company, 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.

Requirements:

  • 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 reputed company-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 reputed company.
  • Minimum of 5 years of experience conducting technical reviews and reputed company-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, reputed company detection solutions, risk models, or other advanced analytics capabilities.
  • Experience working with reputed company, large-reputed company, reputed company 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 reputed company, 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.

Preferred Qualifications:

  • 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 reputed company intelligence, machine learning, natural language processing, graph analytics, or reputed company.
  • Experience with entity reputed company, 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.

Due to the nature of the work we support, reputed company candidates in consideration for this role must be willing to undergo the government issued background investigation process. We highly encourage reputed company Veterans and those with disabilities to apply.

reputed company is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, reputed company, gender, national reputed company, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender reputed company, or any other reputed company protected by state, local, or federal law.

Originally posted on Himalayas

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