Senior Data Scientist (Mobile Marketing Analytics)

• 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
• 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
• Performance Metrics;
• Efficiency Improvement: Improve blended CPI (Cost Per Install) across all channels by 10% at target spend within the first year
• User Quality Growth: Improve the Lifetime Value (LTV) of the new user install base by 10% within the first year

Benefits

• Health Benefits: Medical, dental, and vision coverage for you and your dependents
• Equity: An ownership stake in the company you’ll be helping to build
• Flexible PTO: ‘Take what you need’ vacation policy (we actually mean it)
• Remote First: Fully remote company
• Remote Work stipend: Monthly stipend to offset the cost of internet and any home office updates
• Paid Parental Leave: Peace of mind for parents to dedicate their time to the care of their new child
• Gametime Credit: Monthly Gametime credit to experience the product for yourself
• Team Celebrations: Company meetups and events in different cities across the US

• Experience evaluating acquisition and retargeting performance through LTV, CAC, ROAS, payback windows, and profitability models
• Preferred: experience with Marketing Mix Modeling (MMM) or incrementality testing, and experience in ticketing, live events, marketplaces, or consumer mobile apps
• Proficiency in Python or R and SQL, along with hands-on experience with BI tools (Tableau, Sigma) and Mobile Measurement Partners (Adjust, AppsFlyer, etc.)
• Experience designing and interpreting marketing experiments or causal measurement studies, such as geo-lift tests and audience holdouts
• Experience building, managing, or analyzing user lists for paid marketing activation, with a strong grasp of segmentation, suppression logic, and saturation
• 7+ years of experience in marketing analytics, growth data science, mobile analytics, or a related field; Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field
• Prior experience at a mobile-first company, with deep understanding of mobile attribution, Apple ATT, MMPs, and privacy-aware measurement solutions
• Strong foundation in statistics, with experience in experimentation, incrementality measurement, cohort analysis, and causal inference
• Preferred: experience working with highly seasonal businesses, event-driven demand, or shifting supply and pricing dynamics
• Hands-on experience with Meta, TikTok, Reddit, or similar paid social platforms, analyzing performance at the campaign, creative, and cohort level
• Experience analyzing creative performance and identifying fatigue to improve testing frameworks
• Strong communication skills, with the ability to present technical insights and attribution nuances in a way that supports executive decision-making