Senior Data Scientist

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

Epic Games is looking for a Senior Data Scientist to support the meta-progression systems area. You’ll apply mixed methods to own the end-to-end life cycle of creating data assets, reports, insights, to impact the direction of efforts across Epic’s portfolio of products and ecosystems, with a particular focus on our meta-progression systems, like XP and Quests. The successful candidate will have the ability to apply a range of data technologies, statistical methods, and visualization methods to influence development and product teams, and to partner with stakeholders across all parts of the business.

In this role, you will

• Partner with progression and quest product managers and designers to identify opportunities for our meta-progression systems and use data to develop metrics and insights
• Scope the telemetry these systems depend on and build the ETL, data models, and dashboards stakeholders rely on to tune XP, quests, and the Battle Pass each season
• Run exploratory analysis, whether that's how to cohort players, what's behind an engagement shift, or funnel analysis
• Design and run experiments: A/B tests where we can randomize, and other causal inference methods (difference-in-differences, regression discontinuity) where we can't
• Partner on new progression features from the start, from scoping what to measure through standing up reporting for launch

What we're looking for

• At least 5 years in analytics or data science, with a proven interest in and knowledge of live-service games and how players engage with them
• Strong product sense, and a track record of shaping what a team builds by putting the right data in front of the right people
• Fluent, efficient SQL over very large datasets and solid footing in the Python analytics stack
• Experience scoping telemetry with programming teams and building the ETL and data models on top of it
• Grounding in experimental design and A/B testing, with the judgment to know when a clean experiment isn't possible; quasi-experimental methods (RDD, difference-in-differences) are a plus
• Experience with production tooling: version control (GitHub), orchestration (Airflow / Astronomer), and AI coding tools such as Claude Code.

This role is open to multiple locations in North America (including CA & WA).

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

New York City Base Pay Range

$181,477—$266,166 USD

California Base Pay Range

$159,700—$234,226 USD

Washington Base Pay Range

$145,181—$212,933 USD

ABOUT US

Epic Games​ ​is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.

Like what you hear? Come be a part of something Epic!

Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.

Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Partner with design, game development, and product management to identify opportunities and develop metrics/insights. Work with programming and data platform teams to scope and capture data. Transform raw data into models, reports, and insights. Continuously evaluate metric effectiveness and align with ecosystem growth. Design, test, and learn from experiments to improve games. Lead and mentor a team of data analysts. At least 5 years of industry or relevant experience with live service video games. At least 2 years of experience managing data professionals. Strong product intuition and demonstrated background in influencing products with data. Experience with instrumenting data and ensuring data quality. Experience with efficient and scalable SQL. Development experience in Python analytics ecosystem. Familiarity with Code version control (Github), Orchestration (Airflow), AI coding tools (Claude Code). Understanding of experimental design and A/B testing techniques. Advanced statistical training is a plus. Experience in a "full-stack" data environment is a plus.