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Data Scientist

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Equifax is hiring for a Data Scientist to conduct model validation to verify quality of models and identify data anomalies using statistical and machine learning approaches. This person will conduct big data modeling and analytics using statistical and data science techniques, advanced programming languages in both on-prem and cloud environments.

What you’ll do

  •  Conduct model monitoring and be the SME for Model Risk Management’s automated monitoring tools.  Enhance and update monitoring tools as necessary.

  • Apply critical rigor and assess models built for various verticals including retail banking, auto lending, communications and utilities, mortgage, and payments. 

  • Be able to communicate concisely in both written and oral English and to create model validation reports, including presentation to senior management, supervisory authorities, and model stakeholders. 

What experience you need 

  • Minimum of 5 years in Python and SQL and have sufficient knowledge in such advanced computational languages/applications as Big Query, TensorFlow, Scala, SAS, and/or R.

  • Minimum of 5 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.

  • Master’s degree or higher with 5+ years of experience in Data Science, Computer Science, Mathematics, Engineering, Operations Research, Statistics or other related discipline; Or bachelor degree with 7+ years of experience

What could set you apart

  • Experience in the credit risk analytics domain.

  • Working knowledge of Google cloud and any other cloud environment.

  • Experience in the UNIX environment.

  • Exposure to handling big data.

  • Be able to learn quickly and conduct research and exploration independently on new modeling techniques; Keep him/herself up to date to the latest in the industry. 

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.

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