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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Science Analyst - **Company:** Global Payments Inc. - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Data Analysis, Big Data, BigQuery, Cloud Database, Data Cleansing, Data Visualization, Database Queries, Electronic Data Interchange (EDI), Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, SQL Databases, Feature Engineering, Snowflake, Model Validation, Pandas, Build Management, Scikit Learn, Information Technology, Statistics Packages, Data Analytics, Tools for Reporting, GPT - **Published:** September 23, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2wybzw9u ## About the Role * BS in Statistical Background, Computer Science, Information Technology, Business/Management Information Systems, or related field * 5-8 years of relevant experience, typically * Python: hands-on proficiency with pandas, scikit-learn, and statsmodels for data preparation, modeling, and analysis * SQL: proficient working with large datasets; able to write complex queries and move comfortably across unfamiliar schemas; Snowflake experience is a plus * Statistical modeling: strong foundation in regression, classification, and hypothesis testing; able to choose methods that fit the business problem * Feature engineering and model validation: able to create useful predictors, test model robustness, and assess performance with discipline * Data visualization: able to translate model outputs into business-readable insights, visuals, and clear recommendations * Comfort with fragmented, incomplete data: able to navigate multiple disconnected source systems, reconcile inconsistencies, and piece together a coherent picture without hand-holding * AI-first mindset: daily user of AI tools (Copilot/ChatGPT/Claude or similar) to speed analysis and drafting; already works this way (not "will learn") * Attention to detail: finance-grade accuracy; output feeds executive and regulatory reporting It's a bonus if you have Background on Credit Risk , Lending Snowflake or any cloud data warehouse (BigQuery, Redshift) Experience in financial services, payments, or fintech ## Description Deploys data-driven exploratory analysis as well as predictive models to solve business problems across financial services industry, particularly in the area of Originations, Risk and Fraud, Digital engagement, Payments and Customer Management. Designs and analyzes experiments to test new product ideas and convert the results into actionable product recommendations. Leads Analytics Model development, validation and maintenance. Assists with data collection, cleaning, visualization, model building, training, testing, and presentations to build analytics capability and drive efficiencies in business areas across TSYS. What you'll own * Design and build statistical/ML models (regression, classification, and related techniques) to replace manual analysis and surface predictive insight. * Engineer features and validate models with discipline - testing robustness, assessing performance, and choosing methods that fit the business problem. * Rebuild report and analytical logic as SQL transformations in cloud data warehouses (e.g., Snowflake/BigQuery/Redshift/Synapse), working comfortably across large, unfamiliar schemas * Validate parity vs. legacy outputs; reconcile discrepancies and document assumptions * Translate model outputs into business-readable insights, visuals, and clear recommendations for stakeholders. * Use AI tools to speed analysis and drafting while maintaining accuracy and controls, Global Payments also provides business-to-business payment card and processing services, such as money transfer, cash management, financial electronic data interchange, management information and reporting services. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)