Your space-enabled career begins here

Space-based technologies are the building blocks of these pillars of innovation:

Search for credible job opportunities with top entrepreneurial space companies.

Senior Data Scientist (Recommendation)Singapore

Grab

Grab

Data Science
Singapore
Posted on Nov 18, 2023

Get to know the team

Recommendation DS team focuses on continuously improving consumers’ recommendation experience in different Grab services (e.g. GrabFood). We are building a world-class Search & Personalization platform in our Tech Family which is empowered by big data. 

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 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 derive insights and identify opportunities of product improvements 

  • Design and implement machine learning algorithms efficiently based on identified opportunities 

  • Test the impact of algorithms and features on the overall system with A/B tests

  • Visualize and explain results in a manner that facilitates discussion among business/product stakeholders

The must-haves:

  • Minimum 2 years of relevant experience in developing 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 and applications (e.g. multi-task learning, interest representation and graph embedding) 

  • 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 

Good to have:

  • Experience in working with food deliveries application and use cases

Our Commitment


We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Forward together

Follow us and keep updated!

Equal opportunity

Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.

Recruitment agencies

Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.