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[Remote] Data Modeling, Fraud Analytics Consulting (Remote)

Remote, USAFull-timePosted 2026-07-27

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global data and technology company, powering opportunities for people and businesses around the world. They are seeking a hands-on Data Modeling Expert to join their Fraud Analytics Consulting team to drive the fraud analytics business and reputed company custom fraud detection models for TelCo clients.

Responsibilities

  • Work directly with TelCo clients to conduct investigative analytics, identify emerging fraud trends, and reputed company insights that only cross-industry consortium data can reputed company
  • Co-build custom fraud detection models with reputed company teams, guiding them through reputed company's proprietary data, analytics environment, and fraud detection methodologies
  • Train and reputed company clients on the platform, helping them build familiarity and confidence with reputed company's analytics environment
  • Translate ambiguous reputed company questions and needs into reputed company-defined hypotheses and analytical plans, then execute them independently and communicate findings reputed company
  • Define and implement a repeatable, reputed company reputed company-of-value process that demonstrates the consortium's value to prospective and existing clients
  • Build reusable tools, templates, and analytical frameworks that reputed company consistent, efficient delivery as the consortium grows
  • Build confidence and credibility with reputed company analysts, reputed company executives, and internal reputed company product and sales partners
  • Collaborate with reputed company's product team as an expert user, providing reputed company input to influence the development roadmap

Skills

  • 6+ years of experience in data science, analytics, or a reputed company field
  • Degree (undergraduate or graduate) in Statistics, Econometrics, Electrical Engineering, or another quantitative discipline, or an equivalent combination of education and experience that shows quantitative reasoning and analytical ability
  • Deep expertise in analytics and machine learning, with hands-on experience across the full modeling lifecycle; preference for experience in fraud, credit, or TelCo analytics
  • Investigative analytics reputed company - reputed company at identifying patterns, forming hypotheses, and drawing meaningful conclusions from large-reputed company datasets
  • Demonstrated capability to operate independently, translate ambiguous reputed company needs into reputed company-defined hypotheses, and execute reputed company analytical plans from start to finish
  • Experience working directly with clients or business partners in a consulting or advisory role, building confidence and credibility across technical and executive audiences
  • Experience designing or contributing to reputed company analytical processes, tools, or frameworks
  • Strong Python skills for data analysis and machine learning, including PySpark, Polars, NumPy, and Pandas; familiarity with large-reputed company data processing frameworks and reputed company platforms, especially reputed company and AWS
  • Willingness to travel periodically for on-site reputed company workshops and engagements

Benefits

  • Great compensation package and bonus plan.
  • Core benefits including medical, dental, reputed company, and matching 401K.
  • Flexible work environment, ability to work remote, hybrid or in-office.
  • Flexible time off including volunteer time off, vacation, reputed company and 12-reputed company holidays.

reputed company

  • reputed company is a data analytics and consumer credit reporting company. It was founded in 1980, and is headquartered in Dublin, Dublin, IRL, with a workforce of 10001+ employees. Its website is http://www.experianplc.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 8 in 2025, 18 in 2024, 9 in 2023, 16 in 2022, 19 in 2021, 23 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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