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Data Scientist - Alternative Finance

Equifax (External)

Skills

Required

  • Data Science
  • statistical programming
  • Python
  • SQL
  • machine learning algorithms
  • data manipulation
  • Git/version control
  • AI

Preferred

  • cloud platforms
  • AWS / GCP / Azure
  • cloud analytics tools
  • end-to-end model development
  • rigorous data validation
  • predictive models
  • frameworks
  • logistic regression

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. As a Data Scientist, you will partner with senior team members to transform complex raw data into actionable business insights and predictive models. This role offers hands-on experience across the end-to-end data science lifecycle, including dataset curation, decision strategy development, model deployment audits, and performance monitoring across diverse domains. We are seeking a proactive analytical thinker with a passion for structured problem-solving, high standards for data quality, and a commitment to continuous learning.

About Equifax (External)

  • Equifax is where you can power your possible.
  • If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

Responsibilities

  • You Will Do Problem Solving & Analysis: Apply hypothesis-driven methodologies to dissect complex analytical challenges, synthesize structured and unstructured datasets, and extract actionable insights.
  • Training, evaluating, and fine-tuning predictive models and decision frameworks (e.g., logistic regression, ensemble tree models, neural networks) to address strategic business needs.
  • Rigorously audit data inputs, participate in peer code reviews, and conduct comprehensive model evaluations and performance monitoring.
  • Collaborate within cross-functional teams, maintain clear documentation of analytical tasks, and effectively communicate key findings to technical and non-technical audiences.

Requirements

  • Master’s degree or higher in a STEM field (Data Science, Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience.
  • 0–2 years of experience in an analytical or data science role, including academic or project-based experience developing predictive models.
  • Strong analytical and quantitative skills; proficiency in statistical programming (Python or R) and SQL; solid understanding of key machine learning algorithms, data manipulation, and modern software engineering practices (e.g., Git/version control).
  • Could Set You Apart Master’s degree or higher in a quantitative discipline.
  • Experience developing AI skills or using AI agents and tools to code and build applications or gems.

Preferred

  • Experience with cloud platforms (AWS, GCP, or Azure) or cloud analytics tools.
  • Practical project portfolio demonstrating end-to-end model development and rigorous data validation.

Benefits

  • We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
  • Are you ready to power your possible?
  • Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location

USA-Atlanta JV White USA-Atlanta-One-Atlantic-Center Function: Function - Data and Analytics Schedule: Full time

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