Measurement Data Scientist, Applovin

• This role is ideal for someone who is deeply curious about data and metrics—someone who doesn’t just analyze numbers, but strives to understand the nuances, assumptions, and limitations behind them
• Strong SQL skills and experience with large-scale data manipulation
• Thorough understanding of data structures
• Proficiency with Python for data analysis (pandas, numpy, sklearn, matplotlib)
• Significant experience in data analysis in an online environment, with direct exposure to scoping and executing analytical projects end-to-end
• Strong communication skills and ability to translate analytical findings into clear business recommendations
• Highly curious and detail-oriented, with an investigative mindset and comfort working with messy or incomplete data
• Demonstrated ability to manage competing priorities and deliver results in a fast-paced environment
• Collaborative and flexible team player who takes initiative and drives continuous improvement

Desirable

• AppLovin is seeking a Measurement Analyst to join our Product Partnerships & Measurement team
• You’ll play a key role in helping us triangulate across multiple sources of truth—platform data, 3rd-party measurement (MMM, MTA, incrementality, post purchase survey, etc), and internal attribution systems—to uncover actionable insights that drive smarter business and marketing decisions
• You’ll collaborate closely with the Partnerships, Marketing Science, and Business Development teams to interpret results, refine methodologies, and translate insights into strategies that drive impact for AppLovin, our partners, and advertisers
• Investigate performance metrics across platform and 3rd-party measurement systems to identify inconsistencies, uncover insights, and drive clarity
• Analyze data using SQL and Python (pandas, numpy, sklearn, matplotlib) to extract trends and inform business decisions
• Synthesize complex data into clear, actionable insights and communicate them effectively across technical and non-technical audiences
• Develop a strong understanding of advertising and commerce ecosystems, including conversion tracking, attribution, media mix modeling and incrementality
• Partner with internal and external stakeholders to design and evaluate incrementality tests, and to interpret results and insights from MMM, MTA, brand lift, post-purchase studies, and other measurement frameworks
• Ask critical questions, challenge assumptions, and continuously refine the metrics and frameworks used for evaluating performance and provide guidance to advertisers on their learning agendas
• Build tracking frameworks to monitor test performance and campaign outcomes; follow up and follow through with advertisers and partners to ensure best-practice setup, proper tracking, and adoption of key learnings
• Collaborate cross-functionally to translate analytical findings into business strategies that improve campaign effectiveness and advertiser ROI
• Experience in advertising, digital marketing, or eCommerce analytics