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Data Scientist

  • Alpharetta, United States of America
  • Data & Analytics
  • Full time
  • J00130354

Equifax is looking for a Statistical Consultant/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'll Do:

  • Conduct big data analytics and builds solutions for difficult and large data and business problems under management guidance

  • Contribute to the analytical and code design for problem solution

  • Deliver on multiple components of solutions leveraging technical expertise.

  • Autonomously execute code to generate business results, code efficiency improves solution delivery

  • Analyze and prepare data for analysis, assembling data from standard and disparate data sources

  • Evaluate the work of peer and junior data scientists  to ensure high quality solutions

  • Communicate results to management and identify strengths and weakness of analytics utilized

  • Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance.

  • 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.

  • Execute code to generate business results, code efficiency improves solution delivery

  • Analyze and prepare data for analysis, assembling data from standard and disparate data sources

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

  • 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:

  • 3-5 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

  • 2+ years’ full-time experience with Python (high proficiency level)

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

What Could Set You Apart:

  • Proficiency skill in hands-on data mining and modeling projects 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

  • 1+ year's full-time Bigquery experience

  • 1+ year's full-time Dataflow experience

  • 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

  • Professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena is a plus

  • GCP basic certification

  • Experience working with very large datasets, knowledge of distributed computing a plus

  • Hands-on graph mining experience

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.

If this sounds like somewhere you want to work, don’t delay, apply today - we’re looking for you!

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. ​​​​​​​

We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.

For US Applicants

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