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 seeking a Data Scientist to join our world-class Entity Resolution/Keying & Linking team within Global Data & Analytics. As a Data Scientist - Entity Resolution, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You develop analytical approaches to meet business requirements and explore integrating AI methodologies within our Entity Resolution System, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
In this role you will have the opportunity to work on cutting edge AI technologies at Equifax, and conduct POCs to remain on the forefront of the technological advancements across the industry.
You will combine technical execution with creative problem-solving to build reliable data prototypes and uncover patterns within complex data. If you have a solid foundation in mathematics or statistics and a passion for data mining and machine learning, we want to hear from you.
We believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday–Thursday) , paired with Friday Flexibility to wrap up your week remotely.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you will do
- Work with key stakeholders and understand their needs, utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, develop, test & enhance tools to help the D&A teams across the globe, develop deployable solutions with guidance from more senior resources.
- Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources.
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
- Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
- Package, summarize and visualize analytical findings and results for management.
- Evaluate the work of peer and/or junior data scientists to ensure high quality solutions.
- Responsible for conducting A/B testing to determine the best of multiple techniques / algorithms.
- Leverage and implement Google Cloud Platform (GCP) technologies, keeping up with cloud advancements to propose optimization and automation improvements including agentic workflows.
- Collaborate actively with regional and global Equifax teams to share insights, standardize workflows, and adopt best practices.
What experience you need
- BS degree in a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred)
- 2-5 years of experience in a related analytical role, including experience with the design and development of predictive models
- Cloud certification strongly preferred
- Core Tech Stack: Strong proficiency in Python and SQL, with practical experience writing utility scripts.
- Cloud Infrastructure: Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment.
- Data Modeling: Experience transforming unstructured/structured data into optimized data models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
- Solid experience with version control (Git)
What could set you apart
- 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.
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!
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
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, veteran status, and other legally protected characteristics.
