Data Science Lead
Epic GamesMontreal,Quebec,CanadaPosted 11 April 2026
Job Description
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 hands-on Data Science Lead to join the Gameplay Analytics team. You’ll lead a team of Data Scientists and Data Engineers and 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 Shooters Games (Battle Royale, Reload, OG, Blitz). 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, to manage a small team, and to partner with stakeholders across all parts of the business.
In this role, you will
Partner with design, game development, and product management counterparts to identify opportunities for our first party Games and the business, and use data to develop metrics and insights that shape the execution of the strategy
Work directly with engineering and data platform teams to properly scope and capture the data required to unlock insights and data models
Transform raw data into data models, production metrics, reports, and insights
Continuously evaluate the effectiveness of metrics and align them with long-term ecosystem growth
Work with design, product, and analytics teams to quickly and rigorously design, test, and learn from experiments to improve our games
Lead a small team of data analysts, help mentor them, and set the direction of our analytics approach
What we're looking for
At least 5 years of industry or relevant experience, with proven interest in and knowledge of live service video games
At least 2 years of experience managing a team of data professionals
Strong product intuition and demonstrated background in influencing products by applying data and measurement to drive alignment
Experience with working with development teams to instrument data and ensure continued data quality
Experience with writing efficient and scalable SQL over billions of rows; it is a plus if you are familiar with distributed computing using Spark (Scala or PySpark)
Development experience in Python analytics ecosystem
Familiarity with supporting operational processes including: Code version control (Github or similar), Orchestration (Airflow), AI coding tools (Claude Code)
Understanding of experimental design and A/B testing techniques
Advanced statistical training and a thorough understanding of the associated strengths and weaknesses of different statistical approaches is a plus
Experience in a “full-stack” environment - data file ingest, ETL, data storage interaction, application development, communication of results to storage systems, code version control is a plus
EPIC JOB + EPIC BENEFITS = EPIC LIFE
Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We ... (truncated, view full listing at source)
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