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Senior Data Scientist, Marketing Analytics (Mobile) at Gametime. Location Information: United States. Gametime sells last-minute tickets to the most popular events in sports, music, and theater in more than 50 cities across the U.S. and Canada. . Own the analytical frameworks for tracking mobile marketing effectiveness, bridging platform-reported data, attribution data, MMP data, and internal truth.. Design and maintain marketing analytics dashboards in Sigma/Tableau for performance, user quality, payback, and profitability.. Conduct granular analysis on campaign, ad set, ad, and creative performance providing data-driven recommendations.. Analyze mobile user cohorts to understand retention, monetization, payback, and LTV behaviors.. Partner with marketing and finance to understand channel incrementality, profitability, and spend efficiency.. Design, analyze, and interpret experiments to measure true channel incrementality and marketing lift.. Provide analytical support for retargeting and audience strategy, improving segmentation to drive incremental value.. Analyze how marketplace conditions influence acquisition efficiency to guide marketing execution.. Translate complex analyses into clear recommendations on spend allocation, channel strategy, and growth investment.. Stay current on mobile privacy and attribution landscape to maintain a competitive data science advantage.. 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.. Experience at a mobile-first company with understanding of mobile attribution, Apple ATT, MMPs, and privacy-aware measurement solutions.. Experience with paid social platforms, analyzing performance at various levels.. Experience with LTV, CAC, ROAS, payback windows, and profitability models.. Experience designing and interpreting marketing experiments or causal measurement studies.. Strong foundation in statistics, including experimentation and incrementality measurement.. Proficiency in Python or R, SQL, and BI tools (Tableau, Sigma).. Strong communication skills for presenting technical insights to executives.. Preferred: experience with Marketing Mix Modeling or incrementality testing.. Pay range:. $192K - $226K. Flexible PTO. Competitive salary & equity package. Monthly Gametime credits for any event ($1,200/yr). Medical, dental, & vision insurance. Life insurance and disability benefits. Diverse Family-forming benefits through Carrot Fertility. 401k, HSA, pre-tax savings programs. Company off-sites and meet-ups. Wellness programs. Tenure recognition