Note: The job is a remote job and is open to candidates in USA. Gametime is a live-experience ticketing platform that helps people discover and access events across the United States and Canada. The Staff Data Scientist will build and scale analytical frameworks for mobile marketing, including campaign performance measurement, cohort analysis, experimentation, attribution, profitability modeling, and spend optimization. The role partners with marketing, finance, and leadership to translate complex analyses into growth and investment decisions.
Responsibilities
- 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
Skills
- 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
- 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
Company Overview
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