Equifax is looking for a Sr Statistical Consultant/Data Scientist to join our world-class US 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.
Who is Equifax?
Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions.
Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers.
In this position you will:
Professional experience as a data scientist or statistical modeler in credit risk, financial services, payment, ecommerce verticals with a focus on fraud detection or risk analytics
4-7 years professional level 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 SQL skills in Big Data environment (Hive/ Impala etc.) a plus
Master's degree or higher in Mathematics, Statistics, Computer Science, Operations Research, Engineering, or other related discipline
Strong consultative acumen and ability to understand complex analytical solutions
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Ability to create new ideas for analytical solutions to address customer's business issues
Experience that makes you a great fit:
3+ years' experience with R, Python or a similar statistical tool
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
Proficient with any programming languages such as Python , Java, Scala a plus
Experience working with very large datasets, knowledge of distributed computing tools (Hadoop Streaming, MapReduce, Spark) a plus
Exposure to Visualization tools such as Tableau a plus
Extensive knowledge in fraud prevention methods and detection tools a plus
Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus
2+ years' experience with SAS and proficiency in SAS Macro is a plus
Experience working in UNIX environment preferred
The Perks of being an Equifax Employee?
We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.
This position sits in our Alpharetta location, which includes a state of the art gym, onsite dry cleaning services, onsite caf, food trucks Monday through Thursday, and several excellent restaurants nearby in case you want to explore the area.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To speak to us about this role in more detail apply online.
Function - Data and Analytics