About This Role
This Data Scientist role is within the world-class Entity Resolution/Keying & Linking team at Equifax, part of Global Data & Analytics. It involves manipulating large datasets, integrating diverse data sources, and developing analytical approaches to meet business requirements. The role focuses on exploring and integrating AI methodologies within the Entity Resolution System, translating requests into use cases, and iterative algorithm development. You will work on cutting-edge AI technologies, conduct POCs, and build reliable data prototypes by combining technical execution with creative problem-solving.
Responsibilities
- Work with key stakeholders to understand their needs, utilizing knowledge of data structures, analytics, algorithms/models, and computer science fundamentals to prepare datasets, conduct analytics, and develop, test, and enhance tools for D&A teams globally
- Develop deployable solutions with guidance from senior resources
- Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
- Analyze and prepare complex and new data sources and incorporate them into analytical solutions
- Work 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, and recommendation engines
- 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
- Conduct 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
Requirements
- 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
- Strong proficiency in Python and SQL, with practical experience writing utility scripts
- Competent understanding of cloud computing concepts, with practical experience working in Google Cloud Platform (GCP) or a similar cloud environment
- Experience transforming unstructured/structured data into optimized data models, troubleshooting pipeline bottlenecks, and ensuring data readiness
- Solid experience with version control (Git)
Nice to have:
- Cloud certification strongly preferred
