Marketing Data Scientist
Microsoft | |
United States, Washington, Redmond | |
Nov 22, 2024 | |
Overview At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play. Why play? Well, play is at the heart of everything we do. It's the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence. We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community. We are seeking a talented and driven Marketing Data Scientist to join our Player and Data Insights team at Mojang Studios. In this fast-paced and high-visibility role, you will uncover actionable insights that drive our marketing strategies and enhance player engagement. You will be a key player in transforming data into compelling stories that inform decision-making and drive business outcomes.
ResponsibilitiesCraft complex data into clear, actionable insights and compelling narratives that resonate with stakeholders across the organization.Level up our understanding of trends, drivers, and opportunities with your knowledge of marketing analytics, statistics, and machine learning.Mine efficiently through large datasets in a Databricks environment using SparkSQL and PySpark.Coordinate work with fellow data scientists and marketing, product, and engineering teams to create timely analysis focused on business outcomes.Stay on the leaderboard of industry trends and marketing analytics to ensure our methods are always game-changing. |