Data Scientist - Alternative Finance

Equifax, Inc.; Alpharetta (GA); In loco; USD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Equifax, Inc. is seeking a Data Scientist to transform complex raw data into actionable insights and predictive models.

You will partner with senior team members to contribute across the end-to-end data science lifecycle, including dataset curation, decision strategy development, model deployment audits, and performance monitoring across diverse domains. You will bring strong analytical and quantitative skills with proficiency in Python or R and SQL, and you will apply hypothesis-driven

Competenze

• 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).

Mansioni

• Problem Solving & Analysis: Apply hypothesis-driven methodologies to dissect complex analytical challenges and extract actionable insights.
• Model Development: Train, evaluate, and fine-tune predictive models and decision frameworks (e.g., logistic regression, ensemble tree models, neural networks).
• Quality & Attention to Detail: Audit data inputs, participate in peer code reviews, and conduct model evaluations and monitoring.
• Collaboration & Communication: Collaborate with cross-functional teams and clearly communicate findings to technical and non-technical audiences.

Conoscenze

Python

R

SQL

ML algorithms

Formazione

Master's degree in STEM

Strumenti

Git

Cloud platforms (AWS/GCP/Azure)

Descrizione del lavoro

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.