Senior Mobile Marketing Analytics Scientist

Gametime; United States; On-site; USD 192,313 - 226,250; Full time

Benefits offered by this job

Flexible PTO

Competitive salary & equity package

Monthly Gametime credits for events

Medical, dental, & vision insurance

Life insurance and disability benefits

Diverse Family-forming benefits

401k, HSA, pre-tax savings

Company off-sites and meet-ups

Wellness programs

Tenure recognition

Job summary

Gametime is seeking a Senior Data Scientist to build and scale analytical frameworks powering mobile marketing. You will work across campaigns, creatives, cohorts, and audiences to deliver data-driven insights that influence spend, creative strategy, and growth plans.

The role requires hands-on experience with mobile attribution, experimentation, and profitability modeling, with a strong foundation in statistics and BI tools.

Qualifications

• 7+ years in marketing analytics or mobile analytics.
• Bachelor's degree in data-related field.
• Experience with mobile attribution and privacy-aware measurement.
• Hands-on with Meta, TikTok, Reddit or similar platforms.

Responsibilities

• Own the analytical frameworks for tracking mobile marketing effectiveness in a privacy-aware environment.
• Own the end-to-end design and maintenance of marketing analytics dashboards in Sigma/Tableau.
• Conduct granular analysis on campaign, ad set, ad, and creative performance with data-driven recommendations.
• Analyze mobile user cohorts to understand retention, monetization, payback, and LTV behaviors.
• Partner with marketing and finance to understand channel incrementality and build financial models.

Skills

Marketing analytics

Mobile attribution

Python

R

SQL

Tableau

Sigma

BI tools

Education

Bachelor's degree in data science or related field

Tools

Tableau

Sigma

Adjust

AppsFlyer

Python

R

Job description

Gametime is seeking a Senior Data Scientist to build and scale analytical frameworks powering mobile marketing. You will work across campaigns, creatives, cohorts, and audiences to deliver data-driven insights that influence spend, creative strategy, and growth plans.

The role requires hands-on experience with mobile attribution, experimentation, and profitability modeling, with a strong foundation in statistics and BI tools.