Data Scientist/ Machine Learning Engineer (Trust, Identity, Safety)
Grab
Singapore
4d ago

We are Grabbing the job detail for you

Get to know our Team :

The TIS team acts as guardians of all our users on Grab. We leverage our rich datasets to find solutions to problems ranging from safety to fraud.

We’re a hands on team interested in the end to end data lifecycle : from wrangling data to understanding the tradeoffs between model complexity and deployment in production.

If you’re passionate about solving complex problems with immediate real-world impact, we want you!

Get to know the Role :

  • Develop a deep behavioural understanding and intuition of our passengers and drivers, especially in the space of how they would violate our policies and game our systems
  • Manage and own the entire end-to-end lifecycle of designing models, working with Engineering for implementation, to maintenance and enforcement
  • Generate multivariate statistical models to identify latent factors, preventive and preemptive capabilities that the trust framework requires
  • Interface with business & operation teams to formulate solutions & product changes informed by your findings
  • Work independently or in a team to solve complex problem statements
  • The day-to-day activities :

  • Translate these intuitions into actionable, creative insights that produces heuristic or classification models to identify and take down those who violate our Terms of Services
  • Test and validate these insights via rapid experimentation and deployment
  • The must haves :

  • Proficient in RDBMS such as PostgresQL or MySQL; and statistical programming in languages like R, Python, Java, C++ or SAS
  • Experience in ETL, feature selections, modeling, model validation and conducting data analyses using R, SQL, Python or any JVM languages
  • Deep understanding and implementation experience of predictive modeling algorithms such as logistic regression, neural networks, forward propagation, decision trees and heuristic models, with familiarity dealing with trade offs between model performance and business needs
  • Experience in interfacing with other teams and departments to deliver impact solutions for organisation
  • Self-motivated, independent learner, and enjoy sharing knowledge with team members
  • Detail-oriented and efficient time manager in a dynamic and fast-paced working environment
  • Really nice to haves :

  • Deep understanding of the fraud space with hands-on knowledge of fraud, payments and risk, especially on tech products
  • Experience in geospatial databases or graph databases
  • Recent programming experience in a production environment
  • Experience in Scala or PySpark on distributed systems
  • Interest in working with MapReduce technologies (such as Hadoop / Spark)
  • Familiarity with Python Scikit Learn, Panda or Spark ML / Mllib is a plus
  • Get to know Grab :

    Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people.

    We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

    Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle.

    We recently launched our fintech platform GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-

    house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability.

    Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam.

    We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.

    If you share our vision of driving South East Asia forward, apply to join our team today.

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