AppLovin is looking for a Marketing Data Scientist to help demonstrate the ROI and value of their platform, and develop best practices that accelerate growth for both their clients and their eCommerce advertising business.
Requirements
- Proficiency in analyzing and manipulating data sets using tools like Python, SQL, R, MATLAB, or Hive.
- 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.
Responsibilities
- 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.
- Support client teams in developing strategic initiatives and "learning agendas" to enhance business outcomes through innovative measurement techniques.
Other
- 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.
- 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.
