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Payments Data Scientist
Global Payments Inc.. Transform complex data into meaningful insights that guide decision-making and create value .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, machine learning, and statistical modeling to transform complex datasets into actionable insights. Proficient in Python, R, and SQL, with strong communication skills to convey technical concepts to diverse audiences.
Highest-signal resume keywords
Data AnalysisMachine LearningStatistical ModelingPython ProficiencySQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data VisualizationPredictive ModelingStatistical MethodsAnalytical SolutionsData Quality AssuranceData-Driven ProductsAdvanced Analytics TechniquesLarge Datasets ManagementTechnical DocumentationModel Performance Monitoring
Soft Skills
Analytical SkillsDecision-MakingProblem-SolvingCritical ThinkingCommunication Skills
Tools & Technologies
Machine Learning ToolsAnalytics ToolsData DashboardsData Reporting Tools
Industry Keywords
Data ScienceStatisticsMathematicsApplied MathematicsComputer ScienceEngineeringEconomicsData IntegrityPayment Performance OptimizationCross-Functional Collaboration
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Transform complex data into meaningful insights that guide decision-making and create value
- Analyze and interpret data to support business decisions and develop actionable recommendations
- Build, validate, and enhance data-driven products using machine learning, artificial intelligence, and statistical modeling
- Develop data visualizations, dashboards, and reports for technical and nontechnical audiences
- Partner with business and technology teams to define use cases and translate business needs into analytical solutions
- Shape large and complex datasets into reliable, usable formats while ensuring data quality and integrity
- Apply Python, R, SQL, and appropriate technical approaches
- Support deployment, monitoring, and continuous improvement of analytical models and data products
- Contribute recommendations to analytical solution design with experienced data scientists and cross-functional teams
- Maintain model quality and performance through documentation, maintainable code, and ongoing monitoring
- Balance analytical sophistication and accuracy with implementation effort, performance, and cost
- Support the Payment Strategic Routing team in optimizing payment performance, debit routing efficiency, costs, and success rates
Requirements
What you’ll need- Applicants must be authorized to work in the United States on a permanent basis
- Visa sponsorship, including future sponsorship for OPT holders, is not available
- Bachelor's or master's degree in Data Science, Statistics, Mathematics, Applied Mathematics, Computer Science, Engineering, Economics, or a related quantitative field
- Experience with data analysis, statistical methods, machine learning, and predictive modeling
- Proficiency in Python, R, and SQL
- Experience working with large datasets and modern analytics tools
- Knowledge of machine learning, artificial intelligence, statistical modeling, data visualization, and advanced analytics techniques
- Strong analytical, decision-making, problem-solving, and critical-thinking skills
- Experience collaborating with cross-functional teams to deliver data-driven solutions
- Excellent written and verbal communication skills
- Ability to communicate technical concepts and insights to technical and nontechnical audiences
- Curiosity, eagerness to learn, and passion for leveraging data and analytics
- Drug test required for conditional U.S. employment offer
Benefits
Comp & perks- Competitive compensation
- Reasonable accommodations during the hiring process and to perform essential job functions
- Full-time employment