About the role

Role Overview

As a Data Scientist at Gametime, you’ll collaborate with the User Acquisition team to improve Paid Social campaign performance and drive better creative and spend efficiency. You’ll analyze mobile cohorts to identify high-value opportunities and maximize Customer Lifetime Value (LTV) using privacy-compliant measurement.

Responsibilities

Partner with User Acquisition to optimize Paid Social performance across channels
Own technical measurement frameworks for marketing effectiveness in a privacy-first world
Configure and optimize SKAdNetwork conversion value (CV) schemas (including SKAN) and related tracking
Perform granular analysis of campaign and creative performance
Monitor key efficiency metrics such as IPM (Install Per Mille) and CPM (Cost Per Mille)
Detect and address issues like signal loss and creative fatigue
Communicate technical insights clearly to stakeholders to align on strategy

Requirements

5+ years in marketing analytics or growth data science
Strong statistics background, with experience in experimentation and incrementality measurement
Deep mobile marketing expertise with MMPs and privacy-compliant measurement, including Mobile Measurement Partners (Adjust, AppsFlyer, etc.) and SKAdNetwork (SKAN 4)
Hands-on programming with Python/R and SQL for data analysis, predictive modeling, and optimization workflows
BI/data visualization experience with Tableau or Sigma
Cross-functional collaboration with marketing, supply, finance, product, and fan happiness teams
Clear communication skills for presenting attribution/measurement nuances

Nice to Have

Experience with Paid Social (Meta/TikTok) in a high-growth marketplace
Marketing Mix Modeling (MMM) and/or Incrementality testing
Experience in ticketing or live events

About Gametime

Gametime is a company in the live events industry, focused on connecting fans with tickets and experiences. It operates in a fast-paced environment where growth and mobile performance marketing are core to the business.