Data Scientist
Job Description
Qualifications Requires understanding large, diverse data sources, extensive analytics experience and strong technical skills Articulate and educate various internal stakeholders on Equifax data and analytical quality solutions Expertise in big data environment and ability to code in Python, Scala, R, HQL and SAS in a Hadoop/Spark infrastructure Responsibilities Develop quality analytics on internal technology migrations, migration to GCP, migrations across cloud platforms, customer migrations Take ownership on analytical quality of the entire attribute and score quality lifecycle development validation, model certification, User Acceptance Testing, Platform and Channel certification and post production certification Apply statistical rigor and develop analytical solutions to drive Equifax analytical quality within data & analytics and across pre and post production technology platforms Design quality impact analytics framework including sampling methodology and drift policy Design, develop and implement machine learning and deep learning systems for internal quality analytics application and product development for customer application Build collaborative and influential partnership with Data & Analytics, Governance, Legal, Compliance, Technology, Operations, and Sales Individuals in this role will regularly present recommendations and results to Vice President and Senior Vice President Consult with customer analytics teams regarding best practices, design, ideation and usage of analytical solutions Collaborate with Data Stewards and Data Scientists on data and analytical value chain Identify attribute and score quality requirements to ensure appropriate product testing and validation is completed prior to implementation Create documentation on quality processes #J-18808-Ljbffr