Sr. Marketing Science Analyst

AppLovin is looking for an intellectually curious, highly adaptable, and quick-learning Sr. Measurement Science Analyst to join our Product Partnerships team. In this role, you will learn and drive measurement strategy, help demonstrate the ROI and value of our platform, and develop best practices that accelerate growth for both our clients and our eCommerce advertising business. Reporting directly to the Head of Product Partnerships, you'll collaborate closely with research science, engineering, product, business development, and analytics teams, making a tangible impact from day one.

Key Responsibilities

• Support client teams in developing strategic initiatives and "learning agendas" to enhance business outcomes through innovative measurement techniques.
• Assist internal and external stakeholders in adopting robust measurement practices to improve advertising effectiveness.
• Participate in designing tests and analyzing complex data sets to evaluate advertising effectiveness, covering direct response and brand impact.
• Conduct exploratory analysis and custom studies to assess marketing strategies, delivering clear insights for practical business applications.
• Collaborate cross-functionally (Product, Engineering, Business Development, Marketing) to identify opportunities for new features, products, and strategic partnerships.
• Translate complex data analyses into clear, actionable insights for diverse stakeholders through concise communication and compelling storytelling.
• Contribute to developing white papers, thought leadership, and educational content related to measurement strategies and performance marketing.
• Learn to educate clients, agencies, and industry stakeholders about AppLovin's advertising, measurement, and research capabilities.

Minimum Qualifications

• Master's degree (or equivalent) in a quantitative discipline (e.g., Data Science, Statistics, Economics, Behavioral Science, Computer Science).
• 2+ years of relevant experience in data analysis, statistical methods, or quantitative research.
• Proficiency in analyzing and manipulating data sets using tools like Python, SQL, R, MATLAB, or Hive.
• Strong ability to communicate technical concepts clearly to a non-technical audience through concise story-telling.
• A proactive, curious mindset with a passion for continuous learning and adapting quickly in a dynamic environment.
• Excellent problem-solving skills and the ability to rapidly grasp complex concepts.

Preferred Qualifications

• Internship or professional experience related to eCommerce or digital advertising.
• Exposure to industry measurement methodologies (e.g., attribution models, incrementality testing, geolift).
• Familiarity with machine learning techniques applied to marketing measurement.
• Genuine passion for AppLovin’s mission and online advertising ecosystem.