Senior Data Scientist

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.

Equifax is looking for a Sr. Statistical Consultant/Sr. Data Scientist to join our world-class Global Identity and Fraud Analytics team. In this exciting role, you will have the opportunity to work on a variety of challenging projects across multiple industries including Financial Services, Telecommunications, eCommerce, Healthcare, Insurance and Government.

What you will do:

• Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems

• Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions

• 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

• Research new and advanced predictive modeling techniques as appropriate for a specific solution

• Present results and recommendations to internal and external customers

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

• Develop solution prototypes and help integrate them with the product

• Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions

• Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain

What experience you need:

• Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline

• Minimum 3 years of professional related work experience

• 1-3 years quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies

• Proficiency skill in hands-on data mining and modeling projects with Python, R, and SQL

• Strong consultative acumen and ability to understand complex analytical solutions

What could set you apart:

• 4+ years of professional experience as a data scientist or statistical modeler in at least one of the following: identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena. 

• 4+ years working with Python and SQL. 

• Experience with state of the art machine learning algorithms such as deep neural networks, support vector machines, boosting algorithms, random forest etc. preferred 

• Experience conducting advanced feature engineering and data dimension reduction in Big Data environment is preferred 

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!

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