Data Scientist

Equifax; Alpharetta (GA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Healthcare package

401k matching

Paid time off

Online learning platform

Job summary

Equifax is hiring a Data Scientist to join the Entity Resolution/Keying & Linking team within Global Data & Analytics. This hybrid role in Alpharetta, GA focuses on turning diverse data into dependable analytical and AI solutions using cloud-based tools and data/ML techniques.

You will develop AI methods, integrate data sources, and build deployable solutions with guidance from senior teammates, communicating results to management and collaborating with regional and global teams to

Qualifications

• BS degree in a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred).
• 2 to 5 years of experience in a related analytical role, including experience designing and developing predictive models.
• Cloud certification strongly preferred.
• Core tech: strong proficiency in Python and SQL, with practical experience writing utility scripts.
• Cloud infrastructure: understanding of cloud computing concepts, with hands-on experience in GCP (or a similar cloud environment).
• Data modeling: experience transforming unstructured/structured data into optimized models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
• Version control: solid experience with Git.

Responsibilities

• Partner with stakeholders to understand needs, applying data analytics to prepare datasets and develop tools for Global Data & Analytics teams.
• Analyze and prepare complex data sources, assembling data from standard and emerging sources for analytical use.
• Work on moderate complexity tasks across multiple domains, including predictive models, risk assessments, fraud detection, and recommendations.
• Develop deployable solutions with support from senior resources.
• Package, summarize, and visualize analytical findings for management audiences.
• Evaluate the work of peer and junior data scientists to ensure high-quality solutions.
• Conduct A/B testing to determine best techniques and algorithms.
• Utilize Google Cloud Platform technologies and stay current on cloud advancements to recommend optimizations and automation.
• Collaborate with regional and global teams to share insights, standardize workflows, and adopt best practices.

Skills

Python

SQL

Git

Data modeling

Data engineering

Education

BS degree in STEM or equivalent

Master's degree or higher (preferred)

Tools

GCP

Google BigQuery

BigTable

Dataflow

PySpark/Scala

Job description

Equifax is hiring a Data Scientist to join the Entity Resolution/Keying & Linking team within Global Data & Analytics. This hybrid role (Alpharetta, GA) focuses on turning diverse, sometimes messy data into dependable analytical and AI solutions, using cloud-based tools and data/ML techniques to support teams across the globe.

You will help integrate standard and new data sources, develop and test AI methodologies, and build deployable solutions with guidance from more senior teammates. You will also package and communicate results to management, while collaborating with regional and global Equifax teams to improve workflows and align on best practices.

Responsibilities

• Partner with key stakeholders to understand needs, applying knowledge of data structures, analytics, algorithms/models, and core computer science to prepare datasets and develop, test, and enhance tools for Global Data & Analytics teams.
• Analyze and prepare complex and new data sources, assembling data from standard and emerging sources for analytical use.
• Work on moderate complexity tasks across multiple business and analytical domains, including predictive models, risk assessments, fraud detection, and recommendation engines.
• Develop deployable solutions with support from more senior resources.
• Package, summarize, and visualize analytical findings and results for management audiences.
• Evaluate the work of peer and/or junior data scientists to help ensure high-quality solutions.
• Conduct A/B testing to determine which techniques and algorithms perform best.
• Use Google Cloud Platform (GCP) technologies and stay current on cloud advancements to recommend optimization and automation improvements, including agentic workflows.
• Collaborate with regional and global 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 to 5 years of experience in a related analytical role, including experience designing and developing predictive models.
• Cloud certification strongly preferred.
• Core tech: strong proficiency in Python and SQL, with practical experience writing utility scripts.
• Cloud infrastructure: understanding of cloud computing concepts, with hands-on experience in GCP (or a similar cloud environment).
• Data modeling: experience transforming unstructured/structured data into optimized models, troubleshooting pipeline bottlenecks, and ensuring data readiness.
• Version control: solid experience with Git.

Technologies

• Python, SQL
• Google Cloud Platform (GCP), Google BigQuery, BigQuery, BigTable
• Dataflow
• PySpark/Scala
• Git

Benefits

• Comprehensive compensation and healthcare packages
• 401k matching
• Paid time off
• Organizational growth potential through an online learning platform with guided career tracks

What could set you apart

• Master's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related discipline (strongly preferred)
• Knowledge and experience with Data Engineering
• Exposure to credit/financial data products, or prior project/academic experience with Entity Resolution and identity matching concepts
• Hands-on experience with Google BigQuery, BigTable, Dataflow, or big data processing frameworks like PySpark/Scala
• Experience developing Machine Learning algorithms for production systems
• DevOps basics and exposure to CI/CD integration workflows
• Ability to communicate and present effectively to all levels