Measurement Data Scientist

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.

To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.

AppLovin is seeking a Measurement Data Scientist to join our Product Partnerships & Measurement team. 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. 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.