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# Measurement Data Scientist

- **Company:** AppLovin Corporation
- **Location:** Palo Alto, CA, United States
- **Salary:** $98,000.0 - $148,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Structures, Database Queries, Python (Programming Language), NumPy, Conversion Tracking, SQL Databases, Pandas, Matplotlib, Scikit Learn, Multiplatform
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/measurement-data-scientist-palo-alto-ca--854b666f-bb4c-4467-ae53-e475d30e8676

## About the Role

Data Science, Advertising, Analysis Skills, Data Science, Marketing, Metrics, MTA, Business Development, Multiplatform/Cross-Platform, Performance Metrics, * 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., * Experience in advertising, digital marketing, or eCommerce analytics.
 * Experience with industry-standard measurement methodologies, including CLS, RCTs, attribution modeling, incrementality testing, and GeoLift.
 * Demonstrated ability to apply AI techniques to marketing measurement challenges.

## Description

* 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.