Apply📍 United States, Canada
🧭 Full-Time
💸 160000.0 - 200000.0 USD per year
🔍 Mobile Games
🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper ToolsVideo GamesConsole GamesFamilyMMO GamesSocial NetworkMobileOnline Games
- 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.
- 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.
PythonSQLETLMachine LearningAlgorithmsData engineeringData scienceREST APIPandasData visualizationData modelingData analyticsA/B testing
Posted 3 days ago
Apply