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 Senior Data Scientist Specialist to join our USIS Data and Analytics team. Data and Analytics, the advanced analytical division of Equifax, offers state of the art solutions to current and emerging business challenges.

Through our data analytics, customer insights, modeling, and consulting services, we deliver the analytics and insights companies need to enhance their business. In this role you will have the opportunity to work on a variety of challenging statistical and analytical projects to develop and test new methodologies and product solutions that drive revenue growth. You will have the opportunity to work using cutting edge cloud technology and advanced statistical techniques. 

This role will manage analytical projects from beginning to end. This includes leading discussions with internal and external customers during discovery and design phases, interfacing with internal technology teams for data requirements and extraction, performing the statistical analysis and testing, presenting the findings, and working with modeling teams to transition knowledge and solutions into production.

What you’ll do

• Develop analytical approaches to meet client requirements including translating requests into use cases, test cases, preparation of data sets,  algorithm development 

• Research and test new techniques related to modeling, feature extraction, data processing and product improvements

• Work with cross-functional teams to develop ideas and execute design plans; including but not limited to product managers, data stewards, attributes development, various modeling teams, data governance & compliance, innovation and IT teams

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

• Perform feasibility analyses to demonstrate the value of different hypotheses, data sources and models. Present results and recommendations to internal customers and senior management

• Create detailed documentation outlining design and technical requirements of each solution. Coordinate with product development teams to incorporate tested and approved solutions into new production ready products

• Contribute to process improvement initiatives within entire Data and Analytics group

What experience you need 

• Master’s degree or higher in Statistics, Mathematics, Economics or other related discipline

• 5-7 years of statistical and/or data analysis experience in the credit risk, telecommunications, financial services, marketing, automotive or fraud analytics arena

• 5 years of experience in data querying using SQL/BIgQuery as well as statistical programming languages such as Python

What could set you apart

• Strong quantitative analytical experience, including hands-on and background in statistics, various modeling techniques including machine learning algorithms, and data manipulation of large, various datasets

• Strong consultative acumen with the ability to understand complex analytical solutions and present them to technical and non-technical audiences

• Ability to work with limited supervision to research, develop and test new statistical techniques and product solutions

• Strong knowledge of credit bureau data and other data assets including alternative data

• Experience working in a GCP environment 

• Experience in credit risk assessment and management functions

• Experience building machine learning algorithms such as GBM, neural networks, support vector machines, ensemble models, random forest etc.

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!

Primary Location:

Function:

Schedule: