Data Scientist - Marketing Analytics (Mobile)

The Role

We are looking for an experienced Data Scientist to join our team, a cross-functional group supporting all aspects of Gametime. In this role, you will collaborate closely with the User Acquisition team to optimize Paid Social campaign performance across channels like Meta, TikTok, and Reddit through rigorous experimentation and advanced mobile measurement. This includes driving creative and spend efficiency, analyzing channel efficiency dynamics (IPM and CPM), and maximizing signal quality via SKAdNetwork (SKAN).

You will play a key role in studying mobile cohorts to identify high-value opportunities across leagues and performers, working towards maximizing Customer Lifetime Value (LTV) and sustainable growth. By supporting the marketing team and optimizing the full user journey, you will have a direct impact on the success of the company.

The ideal candidate has hands-on experience with mobile marketing and privacy-compliant measurement in a marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment.

Key Responsibilities

• Mobile Measurement: Own the technical frameworks for tracking marketing effectiveness in a privacy-first world. You will configure and optimize SKAdNetwork conversion value schemas to extract maximum signal from iOS campaigns, bridging the gap between platform data and internal truth.
• Reporting & Visualization: Own the end-to-end design and maintenance of marketing analytics dashboards in our BI tools (Sigma/Tableau). You will serve as the single source of truth for reporting, ensuring stakeholders have accurate, real-time visibility into performance.
• Campaign and Creative Performance: Conduct granular analysis on campaigns and creative performance, specifically monitoring Install Per Mille (IPM) and Cost Per Mille (CPM). You will provide data-driven recommendations to optimize the marketing spend portfolio across many leagues, performances, and creative types.
• Cohort Analytics: Deeply analyze mobile user cohorts to understand retention and monetization behaviors. You will identify efficiency trends across specific leagues, teams, and performers, guiding budget allocation to capitalize on high-intent users.
• Financial Modeling & Incrementality: Collaborate with marketing and finance team members to understand channel incrementality (lift) through measurement and experimentation, and inform financial scenario planning and target setting.
• Competitive Advantage: Stay informed on the evolving mobile privacy landscape (Apple ATT) to help maintain data science as a competitive advantage for the company.

Key Competencies

Technical Skills

• Mobile Marketing Expertise: Deep understanding of Mobile Measurement Partners (MMPs), SKAdNetwork, and the optimization algorithms of paid social platforms (Meta, TikTok).
• Programming and Tooling: Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows.
• Statistical Analysis: Strong foundation in statistical methods, A/B testing, and experimental design for marketing incrementality measurement.