Lead the data scientist team to provide fully customized user experience, including recommendations and search engine results.
Conceptualize, design, prototype and implement production-quality systems. Choose the most appropriate algorithm & technical solution for each scenario.
Conduct research and survey on a lot of interesting and challenging problems. Leverage state-of-the-art algorithms to boost the business growth.
Implement a complete monitoring system for performance evaluation and business insights. Identify the pain points through data and understand how impact is made.
Requirements
Master's degree or PhD in Computer Science/IT/Statistics/Engineer or any other related fields.
At least 3 years experience in recommender systems or search engine systems.
Understand popular feature engineering & modeling techniques, such as hash embedding, graph embedding, DNN, FM, RF, XGB, etc.
Strong in engineering. Understand the architectures of modeling solutions and how to ensure the quality of service.
Strong in doing research & survey. Incisive in data analytics.
Experienced in leading a team. With excellent communication skills, teamwork spirit.