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!
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
