Senior Data Scientist, Marketing Analytics (Mobile)

Accountabilities

• Develop and maintain analytical solutions that optimize mobile marketing performance.
• Improve measurement capabilities and support strategic growth decisions.
• Build and maintain marketing analytics frameworks connecting platform data, attribution data, MMP data, and internal business metrics.
• Create and manage performance dashboards using BI tools for visibility into acquisition efficiency, user quality, profitability, and ROI.
• Analyze campaign, ad set, creative, and audience performance metrics, identifying trends, opportunities, and optimization recommendations.
• Conduct cohort analysis to understand retention, monetization, lifetime value, payback periods, and acquisition quality across different user segments and channels.
• Partner with marketing and finance teams to evaluate spend efficiency, profitability scenarios, channel incrementality, and budget allocation opportunities.
• Design and analyze experiments, including geo-lift tests, audience holdouts, and other causal measurement approaches to determine true marketing impact.
• Support audience strategy and retargeting initiatives by improving segmentation, user lists, and activation strategies.
• Evaluate marketplace dynamics, seasonality, pricing, and demand patterns to separate marketing performance changes from broader business factors.
• Translate complex analytical findings into clear recommendations for leadership and cross-functional teams.
• Stay current with developments in mobile privacy, attribution technologies, and measurement practices to continuously improve analytics capabilities.

Requirements

• Strong expertise in marketing analytics, mobile data science, experimentation, and growth strategy.
• Experience in a mobile-first environment with knowledge of mobile attribution, Apple ATT, MMPs, and privacy-focused measurement approaches.
• Hands-on experience analyzing paid marketing channels such as Meta, TikTok, Reddit, or similar platforms.
• Proven ability to evaluate acquisition and retargeting performance using metrics like LTV, CAC, ROAS, payback periods, and profitability models.
• Experience designing and interpreting marketing experiments, incrementality studies, and causal analysis.
• Statistical foundation with experience in experimentation, cohort analysis, and causal inference.
• Experience analyzing creative performance and developing strategies to improve campaign effectiveness.
• Proficiency in Python or R and SQL, with experience using BI tools such as Tableau or Sigma.
• Familiarity with Mobile Measurement Partners such as Adjust or AppsFlyer.
• Strong communication skills with the ability to present technical insights clearly to business stakeholders and executives.
• Experience with Marketing Mix Modeling, ticketing, marketplaces, live events, consumer applications, or highly seasonal businesses is a plus.

Benefits

• Competitive salary range of $192,313 - $226,250 USD.
• Equity package opportunities.
• Flexible paid time off policy.
• Medical, dental, and vision insurance coverage.
• Life insurance and disability benefits.
• Family-forming benefits through fertility support programs.
• 401(k), HSA, and pre-tax savings programs.
• Monthly credits to enjoy live events and experiences.
• Company off-sites, team meetups, and collaboration opportunities.
• Wellness programs and employee recognition initiatives.
• Remote work flexibility.