About The Position

Come join our Game of Thrones: Legends team here at Zynga! As a part of our team, you'll contribute to a game that not only entertains but also champions a vibrant community, challenges players to think strategically, and creates lasting memories. Your work will help shape experiences that resonate with players worldwide. On our team, analytics plays a crucial role. We inform decision-making and personalize player experience using data. Whether you are assisting the experiment setup that unlocks features to the right people at the right time, analyzing a new feature's impact in our economy ecosystem, or fine-tuning our matchmaking system, your work will have a direct impact on the user experience! Join us if you are passionate about solving fun challenging problems and crafting interactive entertainment that brings people together!

Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
  • Minimum of 4 years in data science or analytics roles.
  • Proficiency in Python and SQL.
  • Demonstrated experience in data mining, data visualization, statistical analysis, and machine learning.
  • Working knowledge of Business Intelligence tools like Tableau.
  • Strong ability in both written and verbal communication.
  • Highly self-motivated with a keen curiosity about problem-solving.
  • Willingness to take ownership of challenges and follow up with stakeholders.
  • Confirmed ability to work multi-functionally as part of a team.

Nice To Haves

  • Advanced degrees (Masters or PhD) are a plus.
  • Familiarity with version control systems such as Git.
  • Experience with analytics platforms like Databricks.

Responsibilities

  • Collaborate with the Product team to improve revenue, retention, and engagement metrics.
  • Conduct A/B testing, perform insights analysis, and develop dashboards.
  • Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience.
  • Design and develop projects within a GitHub environment.
  • Continuously learn about analytics standard methodologies and actively share and promote these practices across various games and teams.
  • Work on projects related to modeling the in-game economy, personalizing the in-game experience, or combating cheating and abusive behavior.
  • Proactively bring forth new analytical approaches and data science solutions.
  • Collaborate with engineers to drive central initiatives for improving the data and analytics infrastructure.
  • Champion standard methodologies when defining telemetry events, architecting data models, and defining data quality governance.

Benefits

  • World-class benefits package that helps support and balance the needs of our teams.
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