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 Data Scientist to join the Analytics team. You’ll apply mixed methods to own the end-to-end life cycle of creating data assets, reports and insights to impact the direction of efforts across Epic’s portfolio of products and ecosystems. 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.

In this role, you will

• Partner with design and product management counterparts to identify opportunities for the business and use data to develop metrics and insights that shape the execution of the strategy
• Work with development and data platform teams to capture the data required to unlock insights and models
• Transform raw data into insights and production metrics, reports, and models
• Continuously evaluate the effectiveness of metrics and to align them with long-term ecosystem growth
• Work with product and analytics teams to quickly and rigorously design, test, and learn from experiments to improve the product

What we’re looking for

• At least 3 years of industry or relevant experience
• Strong product intuition and the ability to shape strategy for a complex ecosystem
• Understanding of experimental design and A/B testing techniques
• 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 in data visualization (Tableau or similar)
• Experience with writing efficient SQL on distributed computing using Spark (Scala or PySpark)
• Familiarity with supporting technical componentry including: Code version control (Github or similar), Orchestration (Airflow preferred), Model tracking (MLFlow or similar)
• Experience in a “full-stack” environment - data file ingest, ETL, data storage interaction, application development, communication of results to storage systems, code version control
• Advanced statistical training and a thorough understanding of the associated strengths and weaknesses of different statistical approaches is a plus
• Development experience in Python ML/analytics ecosystem is a plus

This role is open to multiple locations (including CA, NYC, & 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).