lazada’s mission is to accelerate progress in southeast asia through commerce and technology. launched in 2012, lazada group has grown rapidly across indonesia, malaysia, philippines, singapore, thailand, vietnam and a sourcing centre in china that drives cross-border marketplace activities. lazada helps more than 80,000 local and international sellers and 2,500 brands serve the 560 million consumers in the region through its marketplace platform, supported by a wide range of tailored marketing, data, and service solutions.

岗位描述：

as a lazada data scientist, you will face different challenges. you will be applying different techniques such as deep learning, reinforcement learning, natural language processing and operational research to solve real world problems. you will be:

1. responsible for recommendation frameworks and algorithms for products, product topics, sellers, and feeds stream by item quality control and online personalization.

2. responsible for developing audience, content and bidding algorithms for digital marketing on channels, and help engage our customers better by notifications.

3. responsible for campaign operation algorithms for seller and product recruiting, product scheduling, stock prediction, pricing strategy, and onsite recommendations.

4. responsible for ecommerce knowledge representations, quality controlling and caring for product, category, seller and reviews; natural language processing for opinion mining and text generation.

岗位要求：

1. at least two years relevant working experience;

2. masters or phd degree in computer science, operations research, statistics, mathematics, or equivalent fields;

3. solid theoretical foundations and industry experiences in machine learning, natural language processing, personalized search & recommendation, user/seller behavior modeling, sales prediction, knowledge graph and representation, marketing algorithm, large scale data analysis/platforms;

4. expertise in deep learning, reinforcement learning, explore & exploit algorithms, control theory is preferred;

5. experience in machine learning libraries such as tensorflow, keras, theano, etc;

6. solid programming skills in sql, java, python and scala;

7. passionate about technology, demonstrate ability to generate new ideas and innovations; excellent in self-learning, problem analyzing and solving; work independently, proactive, strong teamwork spirit;

8. good interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to stakeholders.

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