Senior Data Scientist: Time-Series & Strategic Insights

Epic Games; United States; Hybrid; USD 181,000 - 266,166; Full time

Job summary

Epic Games seeks a Senior Data Scientist to develop strategic insights for Finance and Product leadership. You will work in a cross-functional team under the Ecosystem Director of Analytics, maintaining core reporting and forecasting and building high-leverage data models.

You will decompose factors, build time series forecasts, translate analyses for executives, and ensure data quality across products, empowering data-driven decisions across the organization.

Qualifications

• 5-7 years of professional experience as a Data Scientist or related field.
• Expertise with SQL and Python.
• Familiarity with time series modeling.
• Predictive analytics experience in complex environments.
• Strong written and verbal communication with senior leadership.
• Understanding of contemporary video games and analytics best practices.

Responsibilities

• Maintain and evolve core business reporting to analyze fluctuations across core businesses.
• Build, maintain, and leverage time series forecasting methods for ecosystem trends.
• Develop and maintain core data models used by the analytics department.
• Perform executive deep dives and translate analyses into clear narratives for leadership.
• Become an expert on all analytics data collected for Epic's products.
• Ensure data quality and collaborate with engineering and QA to improve data.
• Support users of the self-service data pipeline and educate on data access.

Skills

SQL

Python

Time series modeling

Predictive analytics

Executive communication

Gaming knowledge

Tools

PySpark

Prophet

Data Modeling

Job description

Epic Games seeks a Senior Data Scientist to develop strategic insights for Finance and Product leadership. You will work in a cross-functional team under the Ecosystem Director of Analytics, maintaining core reporting and forecasting and building high-leverage data models.

You will decompose factors, build time series forecasts, translate analyses for executives, and ensure data quality across products, empowering data-driven decisions across the organization.