Job Description

: Build comprehensive understanding of Recommendation products on user scenarios, business value, technical feasibility, and Recommendation strategy Own Recommendation product end to end from frontend UX to backend strategy, and from conception to release Drive development of advanced machine learning-based solutions for product recall/ranking and feature optimisation strategies Design experiments to iterate and develop new and existing features Use data to understand customer behaviour and performance of features, and be data-driven in estimating size of impact and determining prioritisation Collaborate effectively with cross-functional stakeholders from Product, Engineering, Design, Data, and Operations to bring ideas to life Participate actively in the road-mapping and prioritisation of major R&D components Requirements: Years of experience in Product Management, Business Analysis, Data Science or Consulting. Recommendation-related or top tech company experiences is a plus Domain knowledge in Recommendation, and experience in a big data environment interacting directly with data scientists and/or machine learning engineers is highly desirable Bachelor\'s degree or above in Computer Science, Engineering, or a related applied quantitative field MBA is a plus Able to adapt in an agile environment Result-oriented, self-starting, and possesses a strong sense of ownership Robust quantitative and qualitative reasoning skills and strong logical and critical thinking abilities Outstanding design thinking, significant creativity, good business sense and strategies Able to thrive in a dynamic environment Open to receiving and giving feedback Willing to try new things

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