Senior Data Scientist

Equifax

Data Scientist working with cross-functional teams on modeling solutions for multiple industries at Equifax. Engaging with stakeholders and developing prototypes while ensuring quality deliverables.

Posted 6/2/2026full-timeAtlanta • 🇺🇸 United StatesSeniorWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

predictive modelinggeneralized regression modelsBayesian methodsrandom forestgradient boostingneural networkssupport vector machineclusteringdata mininganalytical approaches

Soft Skills

consultative acumencommunicationcollaborationproblem-solvingpresentation skillsstakeholder engagementteamworkadaptabilitycritical thinkingorganizational skills

Tools & Technologies

PythonRSQLdata integrationdata structuresmodeling solutionsiterative algorithm developmenttraining data setssoftware developmentcross-functional teams

Industry Keywords

MathematicsComputer ScienceEngineeringOperations ResearchStatisticsquantitative analysisanalytics projectsmachine learningbusiness requirementssolution prototypes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems
Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
Research new and advanced predictive modeling techniques as appropriate for a specific solution
Present results and recommendations to internal and external customers
Work with cross-functional teams to develop ideas and execute business plans
Develop solution prototypes and help integrate them with the product
Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain

Requirements

What you’ll need

Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics or other related discipline
Minimum 3 years of professional related work experience
1-3 years quantitative analytical experience, including conducting hands-on analytics projects using generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, support vector machine, clustering, and similar methodologies
Proficiency skill in hands-on data mining and modeling projects with Python, R, and SQL
Strong consultative acumen and ability to understand complex analytical solutions

Benefits

Comp & perks

comprehensive compensation and healthcare packages
401k matching
paid time off
organizational growth potential through our online learning platform with guided career tracks