Senior Data Scientist (Recommendation)Singapore
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
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
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.
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.
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.