Manager, Data Science

Hasbro•Renton, WA

About The Position

At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. We’re looking for a Manager, Data Science to help us make better, faster, and more confident decisions for Magic: The Gathering: Arena. You’ll take on complex, undefined problems, develop models to predict outcomes, and guide how we use analytics to understand player lifecycle and identify growth opportunities. This is a hands-on role for someone who can see both the big picture and the details — translating complex business questions, leading analysis projects, and helping shape our long-term player strategy. You’ll partner with Arena Business leaders, Economic Analysts, Data Engineers, and Go-To-Market teams to drive data-informed decision making.

Requirements

8+ years of experience conducting predictive and causal analysis
Degree in finance, economics, computer science, mathematics, or another quantitative discipline
Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes
Capable of translating smart questions into rigorous research plans, and translating quantitative estimates into actionable findings for non-technical audiences
Experience conducting quantitative analyses in Python, R, or another programming language
Working knowledge of SQL

Nice To Haves

graduate degree strongly preferred
Knowledge of and familiarity with trading card games, and especially Magic: The Gathering, is a strong bonus

Responsibilities

Develop empirical models to investigate the MTG: Arena Player lifecycle, digital play format preferences, and interactions with analog play formats.
Drawing on your aforementioned analyses, develop projections of revenue and engagement impact. Apply those models to inform digital game design, go-to-market executions, and play format strategies.
Partner with other analysts to better understand Magic fandom from longtime fans to the new fans.
While your focus is Arena players, occasionally dive into other aspects of Magic to help us learn and grow the entire ecosystem.
Build dashboards and performance reporting in Tableau to provide real-time visibility into player lifecycle interactions and key KPIs.
Look for better ways to measure success, simplify processes, and help others make sense of complex information.