Data Scientist

Company: Bright Intelli LLC

Location: Apex, NC (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-07

About this role

*ONLY USC,*

*Must be able to Pass Public Trust Clearance*

Job Title: Data Scientist

Location: REMOTE

Full Time Position

Summary:

This role involves designing and implementing advanced analytics, machine learning, and AI-driven fraud detection solutions. The position supports criminal investigations, audits, and data-driven decision-making by leveraging modern cloud platforms, statistical modeling, and natural language processing techniques. The role includes collaboration with both technical and non-technical stakeholders and focuses on developing scalable, production-ready data solutions.

Education & Certification Requirements:

  • Master's, Ph.D., or doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field; OR
  • 10 years of equivalent applied work experience in the same fields
  • Cloud certifications (Azure, AWS, or GCP) preferred

Clearance Requirements:

  • U.S. Citizenship required
  • Must be eligible for Public Trust/background investigation
  • 100% REMOTE

Responsibilities:

  • Design, implement, and maintain advanced AI systems and predictive models (supervised and unsupervised)
  • Develop analytic rules and models using fraud analytics tools and best practices
  • Build regression, classification, and statistical models to identify anomalies and predictive variables
  • Provide data analytics support for fraud and abuse investigations
  • Manipulate and analyze datasets using Python, including Pandas
  • Operate in cloud-based environments (Azure, AWS, or GCP)
  • Conduct advanced SQL-based data analysis (SQL Server and PostgreSQL)
  • Develop and scale Natural Language Processing (NLP) solutions
  • Present findings and methodologies to both technical and non-technical audiences
  • Identify trends, patterns, and insights to support decision-making
  • Support audits and investigations with advanced analytics
  • Apply clustering and causal analysis techniques to identify sub-populations an...

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