Senior Data Scientist, Marketing Analytics (Mobile)
New
United StatesFull-TimeSenior
Salary$192,313 - $226,250 USD
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLTableauR
Requirements
- 7+ years of experience in marketing analytics, growth data science, or mobile analytics.
- Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or related field.
- Strong experience in a mobile-first environment with knowledge of mobile attribution, Apple ATT, and MMPs.
- Hands-on experience analyzing paid marketing channels like Meta, TikTok, or Reddit.
- Proven ability to evaluate LTV, CAC, ROAS, payback periods, and profitability models.
- Experience designing and interpreting marketing experiments, incrementality studies, and causal analysis.
- Strong statistical foundation with experience in experimentation and cohort analysis.
- Proficiency in Python or R and SQL.
- Experience using BI tools such as Tableau or Sigma.
- Familiarity with Mobile Measurement Partners such as Adjust or AppsFlyer.
- Strong communication skills for presenting technical insights to executives.
Responsibilities
- Build and maintain marketing analytics frameworks that connect platform data, attribution data, mobile measurement partner (MMP) data, and internal business metrics.
- Develop and manage performance dashboards to provide visibility into acquisition efficiency, user quality, profitability, and return on investment.
- Analyze campaign, ad set, creative, and audience performance metrics to identify trends and optimization recommendations.
- Conduct cohort analysis to understand retention, monetization, lifetime value, payback periods, and acquisition quality.
- Partner with marketing and finance teams to evaluate spend efficiency, profitability, channel incrementality, and budget allocation.
- Design and analyze experiments, including geo-lift tests and audience holdouts, to determine true marketing impact.
- Support audience strategy and retargeting initiatives by improving segmentation and activation strategies.
- Translate complex analytical findings into clear recommendations for leadership.
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