Job Description:

  • Work cross-functionally with business owners/product managers/engineers, and designers throughout the whole process of the data science projects
  • Develop, deploy, and maintain scalable infrastructure for AI models and algorithms. The domain includes but not limited to Logistics and Supply Chain Management, Natural Language Processing, Large-scale Scheduling and Optimisation, Geographic Maps, Search and Recommendation
  • Extract data insights from massive data set, and build data visualisation for business and technical audiences. Communicate solution approaches to work with partners and stakeholders efficiently
  • Design and conduct data science experimental framework to enable organization-wide data-driven practice
  • Contribute to team’s innovation and IP creation

Requirements:

  • Masters or PhD in Computer Science, Operations Research, Mathematics, Statistics, Biostatistics or fields related to data mining preferred
  • At least 2 years of working experiences 
  • Excellent communication skills with the ability to identify and communicate data-driven insights and solutions
  • Deep understanding in algorithmic foundations of optimization, machine learning, NLP, statistics and probability
  • Experienced in at least one programming language (e.g., Golang, C++, Java, Python) and  Unix/Linux system
  • Experience in distributed data processing framework (e.g., Hadoop, Spark) and conducting production environment AB test

Preference will be given to candidates with the following additional requirements as below:

  • Practical experience in POI, NLP, map service and delivery market (Express and Food)
  • Practical development experience in real-time large-scale optimisation algorithms (e.g., supply chain network optimisation, vehicle optimisation optimisation)
  • Practical development experience in distributed systems (especially in ElasticSearch and Lucene) and NoSQL datastores like Cassandra, Redis

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