Senior Data Scientist (Recommendation)

Company Description

About Grab and our workplace

Grab is Southeast Asia's leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Job Description

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

Qualifications

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

Additional Information

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you're never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life's challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We've got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It's not a box-ticking exercise; it's who we are.