Job description
The Data Science team drives the growth of Shopee by using scientific methods to power key business processes, and elevate our business models based on a deep understanding of the business strategy. We aim to serve our users better via best practices in AI Technology and Data Science Products and Services. This includes computer vision, natural language processing, general machine learning, knowledge graph, optimisation and more. Browse our Data Science team openings to see how you can make an impact with us.
- Enhance existing recall, pre-ranking, ranking, re-ranking modules in our large scale ads platform, and continuously improve ads quality
- Iterate ads core models, including but not limited to CTR/CVR, expand and optimise feature set, search and create new model architecture
- Optimise ads bidding, billing and traffic allocation strategies to create better ads bidding mechanism and increase ads monetisation efficiency
- Focus on the research of search, recommendation and ads to apply relevant strategies and adapt to our platform for implementation in our production system
Requirements:
- 2 years of relevant industry experience with solid computer science foundation
- Familiar with at least one of the following programming languages, C++/golang/Python, has good knowledge of data structure and algorithm
- Deep understanding in machine learning and deep learning theory, publications in machine learning and data mining or related conferences is a bonus
- Sensitive to data and business, passionate about technical challenges, have excellent critical thinking skills
- Able to independently drive projects
- Be familiar with big data processing tools, have experience with one or more of the following tools: Hadoop, Spark, Hive and Flink etc.
- Effective team player and has good communication skills
- Proactive and self-motivated
- Preferred to have ads algorithm development experience
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