As a data scientist on the Subscriptions & Commerce Data Science team, you’ll establish, enhance, and socialize top-line and operational metrics that accurately represent the business state of health; craft deep dives in large-scale data to identify key insights that inform business strategy and product improvements; and develop, improve, and execute on experimental measurement plans for new subscriptions and commerce products and features.

Minimum Qualifications
5+ years of professional experience in data science, machine learning, or digital product analytics
3+ years of data engineering experience in data pipeline development, data model design, and aggregation strategies
Mastery in SQL-based languages and proficiency in large-scale data languages such as PySpark
Proven record measuring user experience behavior, customer engagement, and business impact using sophisticated and appropriate analytic tools
Strong proponent of experimental test and design, and practical experience with interpreting observational results
Demonstrated experience with data engineering tools and concepts with querying, manipulating, and analyzing internet-scale data structures and very large datasets specifically to address complex business or product challenges
Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams
Strong verbal and written communication and presentation skills across both technical and non-technical audiences
Fluent in both Mandarin and English
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics or a related field

Preferred Qualifications
Experience in a digital subscription business or for an e-commerce platform
Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or a related field