Primary record

Senior Data Scientist

Epic Games Indexed employerCary,North Carolina,United States · Cary, North Carolina, United States
Source-hosted applyChecked 3h agoInternship
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Workplace

remote

Employment

Internship

Published

Aug 11, 2026

Closes

No date supplied

The role

WHAT MAKES US EPIC?

At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.

Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

This position will primarily be responsible for developing strategic insights to inform Finance and Product leadership on the Epic ecosystem. The Senior Data Scientist will work in a cross-functional team environment under the direction of the Ecosystem Director of Analytics. In addition to other responsibilities, this position will maintain the core business reporting and forecasting that the org relies on, and develop high-leverage data models to improve the efficiency of the entire Insights department.

In this role, you will

• Maintain and evolve core business reporting to analyze fluctuations across our core businesses — decomposing the underlying factors and isolating the causal influence of external events and internal activations

• Build, maintain, analyze, and leverage time series forecasting methods to anticipate ecosystem trends and inform Finance and Product planning

• Develop and maintain core data models leveraged by the entire department, improving consistency, efficiency, and analytical leverage across teams

• Perform executive deep di

Requirements

Department: Data Science