Senior Data Scientist

Equifax • Atlanta, GA

8d • Onsite

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• comprehensive compensation and healthcare packages
• 401k matching
• paid time off
• organizational growth potential through our online learning platform with guided career tracks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior