Senior Data Scientist, thatgamecompany

• Educational Background: Master’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or related field preferred; equivalent experience considered
• 4+ years in data science for consumer apps or mobile games applications
• Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations
• Proficiency in Python (or R), SQL, and statistical modeling tools
• Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively
• Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement
• Exceptional written and verbal communication skills, with the ability to translate complex data findings into accessible insights for non-technical stakeholders
• Proven analytical and problem-solving skills, with a proactive and adaptable approach to dynamic challenges

Desirable

• Thatgamecompany is looking for an experienced Senior Data Scientist to support our flagship title Sky: Children of the Light, by providing insights, reporting, knowledge-sharing, and KPI frameworks to help in decision making as well as to strengthen the long-term operations of the product
• Collaborating with cross-functional teams across marketing, BI, and game development, you’ll bring your expertise in data science, engineering, and analytics to expand our global reach while preserving the heart and ethos of Sky
• Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth
• Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions
• Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals
• Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return
• Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities
• Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations
• Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis
• Work cross-functionally with Engineers, Business intelligence, and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation