Lead Data Scientist (Personalization)

Location: Singapore

*** Mention DataYoshi when applying ***

Get to know the role:

  • Conceptualise and develop machine learning models to model Grab’s consumer preferences, behaviour and interactions, especially in the scope of ranking and recommendation

  • Drive product improvements and roll-out of new features

  • Drive the development and iteration of algorithms

The day-to-day activities:

  • Deep dive into big data to conduct advanced statistical analyses

  • Design and build machine learning and optimisation algorithms efficiently

  • Integrate, simulate and test impact of algorithms and features on the overall system

  • Develop and execute necessary analyses or A/B tests to validate models and identify improvement opportunities

  • Store, retrieve and visualise results in a manner that facilitates required analyses

  • Effectively conceptualize analyses to business/product stakeholders

The must haves:

  • Minimum 4 years of relevant experience in developing ranking and recommendation algorithms

  • Ph.D. or Master’s in Computer Science, Electrical/Computer Engineering, or related technical disciplines

  • Strong fundamentals in Machine Learning, Optimization, and Mathematics

  • Familiar with mainstream deep learning programming framework (e.g. TensorFlow)

  • Familiar with deep learning algorithms (e.g. CNN/RNN/LSTM);

  • Proficient in statistical programming in languages such as Python; and strong working knowledge in RDBMS such as PostgresQL or MySQL

  • Excellent software development capabilities, preferably in Python/Scala/C++ with good programming style and work habits; knowledge of GoLang would be an advantage

  • Self-motivated and independent learner who is willing to share knowledge with the team

  • Efficient and detail oriented; good time management in a dynamic and fast-paced working environment

Really good to haves:

  • Experience in working with food, supermarket, and e-commerce data and use cases

  • Experience in open source search engines such as ElasticSearch and Solr

  • Experience in parallel programming and multithreading

*** Mention DataYoshi when applying ***

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