Epicgames Senior Data Scientist at Epicgames develops strategic insights and forecasting models to inform Finance and Product leadership. Maintains core business reporting and improves data model efficiency across the Insights department.
Responsibilities
This position will primarily be responsible for developing strategic insights to inform Finance and Product leadership on the Epic ecosystem. The Senior Data Scientist will work in a cross-functional team environment under the direction of the Ecosystem Director of Analytics. In addition to other responsibilities, this position will maintain the core business reporting and forecasting that the org relies on, and develop high-leverage data models to improve the efficiency of the entire Insights department.
Maintain and evolve core business reporting to analyze fluctuations across our core businesses — decomposing the underlying factors and isolating the causal influence of external events and internal activations
Build, maintain, analyze, and leverage time series forecasting methods to anticipate ecosystem trends and inform Finance and Product planning
Develop and maintain core data models leveraged by the entire department, improving consistency, efficiency, and analytical leverage across teams
Perform executive deep dives on high-priority subjects relevant to the Fortnite ecosystem, translating complex analysis into clear narratives for leadership
Build a deep understanding of our products and become an expert on all analytics data collected
Take accountability for the quality of data reported by our products, and work with engineering and QA to consistently monitor and improve our data
Support users of our self-service data pipeline, helping them understand the data they are using and teaching them appropriate methods to access and summarize it
Collaborate with the ecosystem analytics team to enhance data-driven decision-making across the organization
Qualification
Expertise with SQL and PythonFamiliarity with time series modelingPassion for the gaming industryPay Transparency Information
Required
Minimum 5-7 years of professional experience as a Data Scientist or in a related field
Expertise with SQL and Python
Familiarity with time series modeling
Demonstrated skills in predictive analytics, especially within complex and high-dimensional environments
Strong written and verbal communication skills with experience delivering presentations to senior leadership, including C-suite executives
Demonstrated understanding of both contemporary video games and analytics best practices
Preferred
Expertise with machine learning and PySpark
Experience with time series forecasting libraries such as Prophet
Experience developing and leveraging AI workflows
Experience with causal inference methods
Passion for the gaming industry
This role is open to multiple locations across the US (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).
