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Data Scientist

4 people in a boardroom

Equifax is looking for a Data Scientist to conduct big data analytics and build solutions for difficult and large data and business problems. 


What you’ll do

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

  • 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.

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

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

  • Work with cross-functional teams to develop ideas and execute business plans

  • Develop solution prototypes and help integrate them with the product


What experience you need 

  • Bachelor's degree in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related discipline

  • 3+ years of professional experience as a data scientist with a focus in machine learning and AI

  • 2+ yrs of hands on experience with Python Matlab or other analytics programming language

  • 1+ yrs of experience with data query languages such as Bigquery, Hive, Impala or equivalent

What could set you apart

  • Master's Degree

  • Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, Natural Language Processing (NLP), time-series analysis (Fourier techniques, basis representations, etc.), Convolutional Neural Networks, Bayesian statistics

  • Experience building predictive models in cloud native platform ( GCP, AWS, Azure ) .

  • Practical experience with Python, Jupyter Notebooks, and TensorFlow.

  • Experience working in an agile framework 

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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