Role Overview
Join our world-class Entity Resolution/Keying & Linking team within Global Data & Analytics as a Data Scientist. Manipulate large data sets, integrate diverse data sources, and develop analytical approaches to meet business requirements.
What You Will Do
Work with key stakeholders, prepare datasets, conduct analytics, develop, test & enhance tools to help D&A teams across the globe, and package, summarize, and visualize analytical findings.
Why It Might Be a Fit
Combine technical execution with creative problem-solving to build reliable data prototypes and uncover patterns within complex data. A solid foundation in mathematics or statistics and a passion for data mining and machine learning are required.
Requirements
- BS degree in a STEM major or equivalent discipline
- 2-5 years of experience in a related analytical role
- Cloud certification strongly preferred
- Strong proficiency in Python and SQL
- Competent understanding of cloud computing concepts
- Experience transforming unstructured/structured data into optimized data models
- Solid experience with version control (Git)
- A Master’s degree or higher is strongly preferred in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related disciplines
- Knowledge, understanding, and experience with Data Engineering
- Domain & Concept Knowledge: Exposure to credit/financial data products or prior project/academic experience with Entity Resolution and identity matching concepts
- Big Data & Cloud Tooling: Hands-on experience with Google BigQuery, BigTable, Dataflow, or big data processing frameworks like PySpark/Scala
- Prior knowledge on developing Machine Learning algorithms for production systems
- DevOps basics and exposure to CI/CD integration workflows
- Ability to communicate and present effectively and efficiently to all levels
Benefits
- Comprehensive compensation package
- Healthcare package
- 401k matching
- Paid time off
- Organizational growth potential through online learning platform with guided career tracks
To apply for this job please visit equifax.wd5.myworkdayjobs.com.

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