Data Scientist - Alternative Finance

Equifax • Alpharetta, GA

1d

About The Position

As a Data Scientist at Equifax, you will partner with senior team members to transform complex raw data into actionable business insights and predictive models. The role provides 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. Equifax seeks a proactive analytical thinker with a passion for structured problem-solving, high standards for data quality, and a commitment to continuous learning. This position does not offer immigration sponsorship, current or future, including F-1 STEM OPT extension support.

Requirements

• Master’s degree or higher in a STEM field such as Data Science, Computer Science, Statistics, Mathematics, or 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 using Python or R and in SQL.
• Solid understanding of key machine learning algorithms, data manipulation, and modern software engineering practices such as Git/version control.

Nice To Haves

• 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 such as AWS, GCP, or Azure, or cloud analytics tools.
• A practical project portfolio demonstrating end-to-end model development and rigorous data validation.

Responsibilities

• Apply hypothesis-driven methods to analyze complex analytical challenges, synthesize structured and unstructured datasets, and extract actionable insights.
• Train, evaluate, and fine-tune predictive models and decision frameworks, such as logistic regression, ensemble tree models, and neural networks, to address business needs.
• Audit data inputs, participate in peer code reviews, and conduct model evaluations and performance monitoring.
• Collaborate with cross-functional teams, document analytical tasks, and communicate findings to technical and non-technical audiences.
• Participate in dataset curation, decision strategy development, and model deployment audits.

Benefits

• Comprehensive compensation and healthcare packages
• 401k matching
• Paid time off
• Organizational growth potential through an online learning platform with guided career tracks

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level