Data Scientist, Alternative Finance Analytics

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

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