Data Scientist, Analytics

Develops predictive models and performs statistical analysis on large-scale mobile attribution data to enhance marketing measurement and provide actionable insights. Requires expertise in machine learning, data mining, and big data technologies.

The Data Scientist will design ML models for real-time recommendation, ranking, and pricing algorithms, and build reward structures that balance user motivation with sustainable ROAS. This role involves leading experimentation with causal impact estimation, measurement strategies like MMM and Multi-Touch Attribution, and zero-to-one projects from raw ideas to production-ready data products. The data scientist will partner with engineering to refine the data stack and establish gold-standard documentation.

This Data Scientist role involves analyzing large datasets, building predictive models, and delivering actionable insights to support business objectives. The position requires strong skills in statistics, machine learning, and data manipulation to contribute to data-driven decision-making.

Builds and maintains data pipelines for web attribution analytics, handling large-scale event data and implementing data models for attribution measurement, ensuring data quality and accuracy using Python, Spark, and AWS.

This role focuses on backend development for Appier's core products, requiring expertise in building scalable and reliable systems. The engineer will design, implement, and maintain backend services to support the company's AI-driven advertising platform.

[Part Time] AI Creative QC Reviewer, Korea

Data Analyst Intern