Epic Games is seeking a data scientist to support the data requirements of their E-Commerce and payments functions, aiming to optimize processes, enhance data quality, and inform business decisions through analytics.
Requirements
- Minimum 5 years of professional experience as a data science professional in a payments or e-commerce environment
- Expert-level skills in Tableau, including dashboard design, performance optimization, and data storytelling
- Strong data modeling capabilities, with the ability to design scalable, efficient, and business-relevant data models
- Solid foundation in statistics and quantitative analysis, with the ability to design experiments, evaluate models, and interpret complex real world data
- Proficiency in Python for data analysis, managing DAGs and ETL, and data manipulation in PySpark
- Deep understanding of payment flows, e-commerce systems, and the payments landscape, including processors, gateways, and transaction lifecycles
- Proficiency in query, analysis, and reporting tools such as SQL (any dialect), PySpark, Python, Tableau, Astronomer, GitHub, and Databricks
Responsibilities
- Work across Accounting, E-Commerce, Finance, and Analytics teams sharing KPI-driven reporting and insights
- Partner with ECOM product and programming to design, run, and report experiments to optimize front end and back end payment processing operations
- Develop and maintain standards for dashboards and reporting initiatives. This includes making sure data is visualized appropriately, creating consistent standards, and confirming that all data is accurate
- Partner with stakeholders and programmers to implement best in class data practices
- Provide insights and research into our payment ecosystem from a technical, financial, and user experience perspective. Document requirements, develop, and deliver both written reports with analysis and charts on a dashboard
- Take accountability for the quality of data reported by our products, and work with programming and QA to consistently monitor and improve our data in order to produce a world class data ecosystem
- Perform statistical data analysis and next level analyses to showcase the impacts of various decisions around the product
Other
- Ability to bring structure and clarity to ambiguous stakeholder environments through thoughtful frameworks and strong communication
- Very strong communication skills, capable of translating technical insights for executives, collaborating with developers, and aligning cross-functional teams
- User-focused and solutions-driven mindset, with a bias toward action, adaptability, and innovation in fast-paced environments
- This role is open to multiple locations in North America (including CA, NYC, & WA)
