Data Scientist - Alternative Finance

Equifax

Alpharetta, GAOn-siteFull time
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Location
Alpharetta, GA
Work style
On-site
Job type
Full time
Posted
Nov 3
2 days ago
Career path

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About the company

Equifax

Financial services · 10,001+ employees

Equifax on LinkedIn

What you'll do

  • Apply hypothesis-driven methodologies to dissect complex analytical challenges
  • Synthesize structured and unstructured datasets and extract actionable insights
  • Train, evaluate, and fine-tune predictive models and decision frameworks
  • Audit data inputs and participate in peer code reviews
  • Conduct model evaluations and performance monitoring
  • Maintain clear documentation of analytical tasks
  • Communicate key findings to technical and non-technical audiences

What you need

  • Master’s degree or higher in a STEM field or equivalent practical experience
  • 0–2 years of experience in an analytical or data science role
  • Experience developing predictive models, including academic or project-based experience
  • Strong analytical and quantitative skills
  • Proficiency in Python or R and SQL
  • Understanding of machine learning algorithms, data manipulation, and software engineering practices
  • Experience developing AI skills or using AI agents and tools (preferred)
  • Experience with AWS, GCP, Azure, or cloud analytics tools (preferred)
  • Education: a postgraduate degree

Key skills

Python or RSQLmachine learning algorithmsdata manipulationGit/version controlanalytical and quantitative skillspredictive modelsstatistical programming

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Perks

  • healthcare packages
  • 401k matching
  • paid time off
  • online learning platform
  • guided career tracks

See full description on company page, apply now

Read the full posting here
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. 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. What You Will Do Problem Solving & Analysis: Apply hypothesis-driven methodologies to dissect complex analytical challenges, synthesize structured and unstructured datasets, and extract actionable insights. Model Development: Training, evaluating, and fine-tuning predictive models and decision frameworks (e.g., logistic regression, ensemble tree models, neural networks) to address strategic business needs. Quality & Attention to Detail: Rigorously audit data inputs, participate in peer code reviews, and conduct comprehensive model evaluations and performance monitoring. Collaboration & Communication: Collaborate within cross-functional teams, maintain clear documentation of analytical tasks, and effectively communicate key findings to technical and non-technical audiences. What Experience You Need Education: Master’s degree or higher in a STEM field (Data Science, Computer Science, Statistics, Mathematics, Engineering) or equivalent practical experience. Experience: 0–2 years of experience in an analytical or data science role, including academic or project-based experience developing predictive models. Core Skills: 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). What 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. 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. 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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