Senior Data Scientist

5 Months ago • 5 Years + • Data Analysis • $170,588 PA - $250,196 PA

Job Summary

Job Description

As a Senior Data Scientist at Epic Games, you'll drive the core functions of a personalization engine for Fortnite, providing real-time tailored recommendations to players. Collaborating with various teams (ML engineers, product engineers, product managers, and analytics), you'll develop and deploy robust ML models in a distributed big data environment (batch and streaming). Responsibilities include developing machine learning models to surface relevant content, transforming raw data into scalable production models, continuously evaluating model effectiveness, and working with product and engineering teams on experiments. You'll ensure strong experimentation practices and model promotion through rigorous monitoring and highly parallelized pipelines.
Must have:
  • 5+ years experience in relevant field
  • Experience with PySpark batch and streaming
  • Expert in Python development and CI/CD
  • Data modeling and architecture for feature stores
  • Experience instrumenting data and designing metrics

Job Details

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

You will drive the core functions of a personalization engine that provides tailored recommendations to our players in real time. You will partner closely with machine learning engineers, product engineers, product managers, and analytics teams to deliver high quality ML models from R&D through to deployment and continuous experimentation and iteration. You will use your expertise in building and serving robust ML models in real time in a distributed big data environment in both batch and streaming workloads. You will ensure strong experimentation practices and model promotion strategies through rigorous automated monitoring and measurements and heavily parallelized training and prediction pipelines.

In this role, you will

  • Develop machine learning models to surface the most appealing & relevant content to players from a vast library of Fortnite islands
  • Independently transform raw data into scalable production ML models and partner with backend service teams to integrate those models into Fortnite
  • Continuously evaluate the effectiveness of models and iterate constantly to maximize long-term ecosystem growth
  • Work with product, and engineering teams to quickly and rigorously design, test, and learn from experiments to improve the product

What we're looking for

  • 5+ years of industry or relevant experience, with proven interest in and knowledge of live service video games
  • Experience writing efficient and scalable ML Pipelines over billions of rows in a distributed computing environment with PySpark batch and streaming
  • Expert in Python development practices including version control (GitHub), and comfortable working in a CI/CD environment
  • Thoughtful conceptual data modeling and data architecture practices designed for feature stores and model performance monitoring
  • Experience working with development teams to instrument data and design event-level metrics to build model features
  • Familiarity with supporting operational processes including: code version control (Github or similar), orchestration (Airflow)
  • Passion for the gaming industry and optimizing experiences through automation and highly performant models

This role is open to multiple locations across the US (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).

California Base Pay Range
$170,588$250,196 USD
Washington Base Pay Range
$170,588$250,196 USD

ABOUT US

Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 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 .

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 .

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