Job Description:

  • Work closely with our data scientist knowledge graph team to uncover insights, deploy state-of-the-art algorithms, and build practical solutions on massive user and product data by building an e-commerce knowledge graph and its supporting infrastructure.
  • Build various graphs and graph machine learning models/applications to serve various business purposes such as anti-fraud, credit scoring, user profiling, listing information mining, etc.
  • Analyze massive data and conduct feature engineering by large-scale data mining.
  • Setup real-time data pipeline and build reliable dataset with graph database for various tasks.
  • Develop and maintain the in-house knowledge graph platform to serve various teams.
  • Research the state-of-the-art techniques in graph neural network to solve challenging problems.

Requirements:

  • Experience with programming languages such as Python
  • Experience on SQL, Spark.
  • Knowledge on areas related to graph analysis and graph neural network.
  • Experience in Tensorflow or Pytorch machine learning framework.

Preferred Qualifications:

Having one or more of the following skills will be a big plus.

  • Knowledge of entity recognition, model interpretability, causal analysis
  • Familiar with compiled programming languages such as Java or Golang.
  • Familiar with graph computing framework such as Apache Tinkerpop.
  • Experience on graph databases such as JanusGraph or Dgraph or Neo4j Enterprise.
  • Front-end development tools such as Vue or React.

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