Canopy
Lalamove (HK)

Lalamove - Data Science Team Lead

Lead
Hong Kong
Data Science Team Lead
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About Us

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple.

Who we're looking for

As a Lead of the Data Science Team at Lalamove, you will be managing the growing Data Science team of Data Scientists and Machine Learning Engineers to support different functional departments in the headquarters, as well as our offices around the Globe. You will be responsible for making our products and services intelligent via developing data-driven solutions and bringing them to production. You will work on a variety of challenges including Order Allocation, ETD, Fraud Detection, Vehicle Routing and many other applications you will help drive. The qualified candidate should possess demonstrated track record in leading advanced analytics and machine learning projects which delivered measurable values to the businesses.

What you will be doing

What you will be doing: 

  • Shape the direction and architecture of artificial intelligence at Lalamove.
  • Manage a team of data scientists and machine learning engineers
  • Conceive, plan and prioritize data projects
  • Align data projects with organizational goals
  • Build analytic systems and predictive models
  • Lead data mining and collection procedures
  • Ensure data quality and integrity
  • Interpret and analyze data problems
  • Test performance of data-driven products
Who you are

Who we seek:

  • Evangelist: you effectively teach and promote innovative tech, challenge and influence the strategy of stakeholders
  • Quick learner: you enjoy working with data and algorithms and have the ability to learn new frameworks and technologies quickly
  • Problem solver: you have strong critical thinking skills and willing to find creative solutions to difficult problems
  • High autonomy: self-organized, passionate with a can-do attitude and own end-to-end projects
  • Team player: you go the extra mile to ensure success and alignment of all parties involved

What you will need:

  • 7+ years of hands-on experience in data science and in implementing high availability production machine learning systems
  • M.S. degree in Computer Science, Data Science, Mathematics or similar field
  • Strong knowledge in Python/R and SQL
  • Experience in distributed computing technologies (e.g. Hadoop, Spark, GPUs)Experience in AWS (S3, Redshift, SageMaker, Lambda) or GCP (ML Engine, KubeFlow)
  • Experience in one or more of the following: Classical ML, Deep Learning, Image Processing, NLP, Operations Research and Recommendation Systems
  • Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Keras, PyTorch, Spark MLlib)
  • Fluent in spoken and written English

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