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Data Sciences Leader, Entity Resolution (Keying & Linking)


Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

Equifax is searching for a Data Sciences Leader, Entity Resolution (Keying & Linking) to join our world-class Entity Resolution/Keying & Linking team within the Global Data & Analytics CoE. The successful candidate will lead a team to achieve our transformation of Entity Resolution capabilities to the Google Cloud and establish processes and practices for linking Equifax, partner and customer data to facilitate insights about businesses and the relationships between them. 

You will lead a small team of data scientists and data engineers who will explore a wide range of data assets using cutting edge analytics and statistics.  This role requires understanding large, diverse data sources and extensive experience developing data matching and Entity Resolution rules.  Experience with linking data about consumers or, preferably businesses is critical as well.

What you will do

  • Work with key stakeholders and understand their needs to develop new or improve existing global Entity Resolution (keying & linking) processes

  • Work in a cross-functional, matrix organization, at times under ambiguous circumstances.

  • Direct the work of and develop two to six direct reports in achieving their deliverables

  • Provide leadership and guidance  in the design and development of scalable solutions using large datasets within a cloud platform and cross train new Big Data and/or data analyst on the team

  • Deploy innovations, including but not limited to AI/ML techniques for Entity Resolution

  • Understand the various aspects of architecture practices: business, application, data, security, infrastructure and governance 

  • Present results and recommendations to internal and external customers

  • Ensure quality end-to-end deliverables of developed technology solutions

  • Clearly communicate insights and impacts from process, technology and rule changes

What experience you need

  • Bachelor's Degree in Data/Computer Science, Statistics, Mathematics, Economics or other related discipline

  • Minimum of 7 years of data management, engineering, and/or, data analysis experience in the credit risk, telecommunications, financial services, marketing, fraud, or insurance analytics arena

  • Minimum of 2 years of experience managing small/mid-size data engineering, data /management and/or data analysis teams required

  • Minimum of 5 years experience with the development and usage of search, match and entity resolution, building search systems, data matching, master data management of large (multi-TB to PB), complex data sets for consumer or commercial data

  • Clear communication skills of technical or analytical results and recommendations to both technical and non-technical business leaders 

What could set you apart

  • Masters Degree or PhD in Data/Computer Science, Statistics, Mathematics, Economics or other related discipline or relevant equivalent experience

  • Strong knowledge of credit bureau data

  • Experience or advanced degree with focus on Entity Resolution concepts, prototype or hand-on project.

  • Graph database, AI/ML tools usage to solve large scale business problems

  • Experience in Data Visualization and storytelling

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.

Are you ready to power your possible?  

Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Equifax is an Equal Opportunity Employer. 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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