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.

Our Data Scientist roles are unique. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?

What You’ll Do:

• Research innovative data solutions to solve real market problems.

• Drive the creation of new models and capabilities that will leapfrog traditional bureau based modeling done at most major financial institutions leveraging a wide array of data from both traditional (credit bureaus) and non-traditional (data aggregators & other) sources.

• Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization.

• Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.

• Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.

• Manage data analysis to develop fact-based recommendations for innovation projects.

• Mine Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions.

• Work with cross-functional teams to develop ideas and execute business plans.

• Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.

What experience you need

• A strong academic background with an advanced degree in a quantitative field (Statistics, Mathematics, Economics)

• 5-7 years experience in modeling or predictive analytics with experience working with unstructured data; PhD degree may substitute for some experience

• Excellent problem solving skills with the ability to design algorithms, which may include data cleaning, data mining, data clustering and pattern recognition methodologies

• Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, and R

• Experience designing and implementing Big Data solutions

• Experience in customer scoring, risk modeling, credit scoring, fraud detection, causal analysis, and pattern recognition

• Familiarity with Agile methodology

• Ability to work cross-functionally in a highly matrix driven organization, at times under ambiguous circumstances

• Experience with a range of big data architectures

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What could set you apart

• Passion for data science, data mining, machine learning and experience with big data architectures and methods

• A Master's degree in a quantitative field (Statistics, Mathematics, Economics)

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive 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!

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