Senior Data Scientist, Growth

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Requirements:

• 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.

Responsibilities:

• 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.