Leverage data to solve challenging business problems from full-spectrum of product and business lines, using analytical and statistical approaches.
Build and improve applicable statistical models, e.g. LTV and ROI prediction, to guide user growth-related decisions.
Initiate model-driven analysis to provide deep insights into various products. Catch the common rule of problems and establish the inter-product analytic paradigm.
Work with Product, Operations, Engineering and cross-functional teams to drive product development through analytic, statistical, and algorithmic expertise
Design, run and analyze A/B experiments to inform and execute the product strategy, and ultimately improve the product and support business decisions.
Requirements
Bachelor's degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
2+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user-level modeling
Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Proficiency in SQL, Python/R
Preferred
Solid communication and collaboration skills with the ability to work effectively with internal teams in a diversified environment
Passion for the Internet industry and data analysis.
Self-starter with the ability to acquire an in-depth understanding of the relation between data and user experience/product growth.
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