Senior Data Scientist, Marketing Analytics – Mobile

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $192.3k - $226.3k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Gametime

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

⚽ Sports

eCommerce • Entertainment • Sports

Gametime is a platform that offers last-minute ticket deals for sports, music, theater, and other live events. Users can access tickets for a wide range of events, including college football, concerts, comedy shows, theater performances, and professional sports leagues such as the NFL, NBA, MLB, NHL, and MLS. The platform emphasizes a user-friendly experience with features like all-in pricing to avoid hidden fees and a lowest price guarantee. Gametime aims to provide an easy and affordable way for users to experience live entertainment in various cities across North America.

📋 Description

• Own the analytical frameworks for tracking mobile marketing effectiveness in a privacy-aware environment, bridging platform-reported data, attribution data, MMP data, and internal truth to support confident decisions despite measurement noise. • Own the end-to-end design and maintenance of marketing analytics dashboards in Sigma/Tableau, serving as a trusted source of truth for performance, user quality, payback, and profitability reporting. • Conduct granular analysis on campaign, ad set, ad, and creative performance (IPM, CPM, CPI, CAC, ROAS), providing data-driven recommendations and partnering with marketing to spot creative fatigue and winning assets. • Analyze mobile user cohorts to understand retention, monetization, payback, and LTV behaviors, identifying efficiency trends across leagues, teams, and acquisition sources to guide budget allocation. • Partner with marketing and finance to understand channel incrementality, profitability, and spend efficiency, building financial scenario models to inform where to scale, reduce, or reallocate spend. • Design, analyze, and interpret experiments to measure true channel incrementality and marketing lift, including geo-lift, PSA tests, and audience holdouts, translating results into practical recommendations. • Own analytical support for retargeting and audience strategy, building and maintaining user lists and improving segmentation to ensure programs drive incremental value rather than capturing organic demand. • Analyze how marketplace conditions, event demand, league mix, pricing, and seasonality influence acquisition efficiency, helping distinguish marketing execution shifts from broader marketplace dynamics. • Partner with leadership to translate complex analyses into clear recommendations on spend allocation, channel strategy, and growth investment, communicating tradeoffs and risks to support fast decisions. • Stay current on the evolving mobile privacy and attribution landscape (Apple ATT, MMP capabilities) to keep data science a competitive advantage in how Gametime measures and scales mobile growth.

🎯 Requirements

• 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. • Hands-on experience with Meta, TikTok, Reddit, or similar paid social platforms, analyzing performance at the campaign, creative, and cohort level. • Experience evaluating acquisition and retargeting performance through LTV, CAC, ROAS, payback windows, and profitability models. • 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. • Strong foundation in statistics, with experience in experimentation, incrementality measurement, cohort analysis, and causal inference. • Experience analyzing creative performance and identifying fatigue to improve testing frameworks. • Proficiency in Python or R and SQL, along with hands-on experience with BI tools (Tableau, Sigma) and Mobile Measurement Partners (Adjust, AppsFlyer, etc.). • Strong communication skills, with the ability to present technical insights and attribution nuances in a way that supports executive decision-making. • Preferred: experience with Marketing Mix Modeling (MMM) or incrementality testing, and experience in ticketing, live events, marketplaces, or consumer mobile apps. • Preferred: experience working with highly seasonal businesses, event-driven demand, or shifting supply and pricing dynamics.

🏖️ Benefits

• 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