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Data Science Team Lead

  • Location

    Hong Kong

  • Sector:


  • Job type:


  • Salary:


  • Contact:

    Michelle Lam

  • Contact email:

  • Salary high:


  • Salary low:


  • Job ref:


  • Published:

    6 months ago

  • Expiry date:


  • Startdate:


My client is a leading global on-demand delivery platform with millions of delivery partners serving millions of orders everyday, If you are looking for a fasting growing, fun, dynamic and work life balance working environment you are on the right track!

•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
•Shape the direction andarchitecture of artificial intelligence at the company.
•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
•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 Englis

If this role is of interest to you, or if you are interested in exploring other opportunities within the market, you are welcome to reach out directly to: or +852 27776467 for further discussion.