Senior Data Scientist

Location: Outram

*** Mention DataYoshi when applying ***

Get to know the role:

  • Conceptualise and develop machine learning models to model Grab’s driver and passenger movements, preferences, behaviour and interactions
  • Develop and implement optimization algorithms to solve vehicle dispatch, routing and pooling problems
  • Build complex and detailed simulations from ground up to dynamically model Grab’s operations, driver and passenger movements, attributes and interactions
  • Drive product improvements and roll-out of new features
  • Focuses on building map-based intelligence such as travel time estimation, traffic forecasting, routing, Place-of-Interest (POI) search and data curation, and positioning.

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, simulations 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:

  • Good experience in one or more of the following:
    Developing machine learning models for behaviour, preference or demand modelling
    Search and Recommendation
    Developing optimization algorithms to solve large-scale network flow/ combinatorial/ stochastic problems
    Developing large-scale complex discrete-event/agent-based simulation models
    Computer Vision
    Information retrieval, natural language processing, text mining, or geo-spatial data mining.
    Curating, manipulating and analysing large geographical or spatio-temporal datasets
  • Ph.D. or Master’s in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, or related technical disciplines
  • Strong fundamentals in one of the followings: Machine Learning, optimisation or simulation, NLP, Computer vision
  • Proficient in statistical programming in languages such as Python and R; and strong working knowledge in RDBMS such as PostgresQL or MySQL
  • Excellent software development capabilities, preferably in C++, Java or Python; 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 time manager who thrives in a dynamic and fast-paced working environment

Really good to haves:

  • Experience in working with mobility, geographical, delivery or food data and use cases
  • Experience in parallel programming and multithreading

*** Mention DataYoshi when applying ***

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