Senior Data Scientist
Confirmed live in the last 24 hours
Epic Games

5,001-10,000 employees

Video game developer (makers of Fortnight)
Company Overview
Epic is a leading interactive entertainment company and provider of 3D engine technology. Epic operates Fortnite, one of the world’s largest games with over 350 million accounts. Epic also develops Unreal Engine, which powers the world’s leading games and is also adopted across industries such as film and television, architecture, automotive, manufacturing, and simulation. Through Unreal Engine, Epic Games Store, and Epic Online Services, Epic provides an end-to-end digital ecosystem for developers and creators to build, distribute, and operate games and other content.
Industrial & Manufacturing
Consumer Software
Real Estate
Education
Gaming

Company Stage

N/A

Total Funding

$15.4B

Founded

1991

Headquarters

Cary, North Carolina

Growth & Insights
Headcount

6 month growth

8%

1 year growth

2%

2 year growth

36%
Locations
Morrisville, NC, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Git
Apache Spark
SQL
Tableau
Data Analysis
CategoriesNew
Data Management
Data Science
Data Analysis
Data & Analytics
Requirements
  • 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
Responsibilities
  • 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