You are a self-starter who is excited about data, excels in product logic thinking, clear communication, and brings distinctive problem-solving skills and impeccable quantitative modeling experience.
As a Data Scientist, you will be working on designing and monitoring core metrics, identifying the root causes for metric movements through deep dive into the models. The role will cover a wide range of model-driven solutions to deliver superior business outcomes through research and analyses. In particular, this role will leverage the causal structure of user behavior, identify trends and opportunities for user growth and great ecosystem, and guide the product team to make the best decisions.
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
Master’s degree in a quantitative discipline (e.g. Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics).
5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and machine learning (deep learning), and experience in user-level modeling
2+ years of experience with leading a team
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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