Data Scientist - Marketing Analytics (Mobile)
The Role
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.
Key Responsibilities
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.
Key Competencies
Technical Skills
Mobile Marketing Expertise: Deep understanding of Mobile Measurement Partners (MMPs), SKAdNetwork, and the optimization algorithms of paid social platforms (Meta, TikTok).
Programming and Tooling: Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows.
Statistical Analysis: Strong foundation in statistics, with experience in experimentation and incrementality measurement.
Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma.
Interpersonal Skills
Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, product, and fan happiness to achieve business goals.
Communication: Clear and concise communication skills to present technical insights (like attribution nuances) to stakeholders, ensuring alignment on strategy.
Problem-Solving and Decision-Making
Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure.
Proactive: Proactive in identifying challenges—such as signal loss or creative fatigue—and implementing solutions. Embodies a proactive and “Always be Curious” mindset.
Qualifications
Minimum Qualifications:
Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field.
Experience: 5+ years of experience in marketing analytics or growth data science.
Mobile-First Expertise: Prior experience in a mobile-first company with a deep understanding of SKAdNetwork (SKAN 4) and other privacy-compliant mobile measurement solutions is required.
Tools: Expertise with SQL, Python/R, and Mobile Measurement Partners (Adjust, AppsFlyer, etc.).
Preferred Qualifications:
Experience with Paid Social (Meta/TikTok) in a dynamic, high-growth marketplace environment.
Experience with Marketing Mix Modeling (MMM) or Incrementality testing.
Experience in ticketing or live events is a strong plus.
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.
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
United States - Pay Range
$169,272—$199,143 USD
About the job
Apply for this position
Data Scientist - Marketing Analytics (Mobile)
The Role
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.
Key Responsibilities
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.
Key Competencies
Technical Skills
Mobile Marketing Expertise: Deep understanding of Mobile Measurement Partners (MMPs), SKAdNetwork, and the optimization algorithms of paid social platforms (Meta, TikTok).
Programming and Tooling: Proficient in Python/R and SQL for data analysis, predictive modeling, and optimization workflows.
Statistical Analysis: Strong foundation in statistics, with experience in experimentation and incrementality measurement.
Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma.
Interpersonal Skills
Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, product, and fan happiness to achieve business goals.
Communication: Clear and concise communication skills to present technical insights (like attribution nuances) to stakeholders, ensuring alignment on strategy.
Problem-Solving and Decision-Making
Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure.
Proactive: Proactive in identifying challenges—such as signal loss or creative fatigue—and implementing solutions. Embodies a proactive and “Always be Curious” mindset.
Qualifications
Minimum Qualifications:
Education: Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or related field.
Experience: 5+ years of experience in marketing analytics or growth data science.
Mobile-First Expertise: Prior experience in a mobile-first company with a deep understanding of SKAdNetwork (SKAN 4) and other privacy-compliant mobile measurement solutions is required.
Tools: Expertise with SQL, Python/R, and Mobile Measurement Partners (Adjust, AppsFlyer, etc.).
Preferred Qualifications:
Experience with Paid Social (Meta/TikTok) in a dynamic, high-growth marketplace environment.
Experience with Marketing Mix Modeling (MMM) or Incrementality testing.
Experience in ticketing or live events is a strong plus.
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.
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.
United States - Pay Range
$169,272—$199,143 USD