Senior Data Scientist, Marketing Analytics – Mobile

Gametime

Senior Data Scientist optimizing marketing analytics for a mobile event ticket company. Analyzing mobile cohorts and performance across digital platforms for growth and efficiency.

Posted 7/13/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $192,313 - $226,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics and mobile attribution, with a strong foundation in statistics and experience in designing experiments to measure channel incrementality. Proficient in building and analyzing marketing dashboards and user segmentation to drive data-informed decisions.

Highest-signal resume keywords

Marketing AnalyticsMobile AttributionExperiment DesignCohort AnalysisStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatisticsCausal InferenceUser SegmentationIncrementality MeasurementLTV AnalysisCAC AnalysisROAS AnalysisCreative Performance AnalysisMarketing Mix Modeling

Soft Skills

Strong Communication SkillsData-Driven RecommendationsCollaboration with Marketing and Finance

Tools & Technologies

PythonRSQLTableauSigmaMobile Measurement Partners

Industry Keywords

Mobile MarketingPrivacy-Aware MeasurementPaid Social PlatformsEvent-Driven DemandConsumer Mobile Apps

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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