AppLovin is hiring a Measurement Data Scientist for the Product Partnerships & Measurement team. The role involves analyzing and triangulating data from platform sources, 3rd-party measurement systems, and internal attribution to generate actionable insights for business and marketing decisions. Responsibilities include investigating performance metrics, analyzing data with SQL and Python, synthesizing insights for diverse audiences, understanding advertising ecosystems, designing and evaluating incrementality tests, refining performance metrics, building tracking frameworks, and collaborating cross-functionally. Requirements include strong SQL and Python skills, experience with large-scale data manipulation, data analysis in online environments, strong communication, curiosity, and ability to manage priorities. Preferred qualifications include experience with advertising analytics, measurement methodologies (CLS, RCTs, attribution modeling, incrementality testing, GeoLift), and applying AI techniques to marketing measurement. Benefits include equity eligibility, medical, dental, vision, life, disability insurance, 401(k), unlimited discretionary time off, paid holidays, and sick leave. Location: Palo Alto, California.
What you'll do
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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
Requirements
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
Tech stack
SQLPythonpandasnumpysklearnmatplotlib
Benefits
Equity eligibleMedical insuranceDental insuranceVision insuranceLife insuranceDisability insurance401(k) Retirement PlanUnlimited Discretionary Time Off10 paid holidays per year80 hours paid sick leave per year
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