Lead Data Scientist (Consumer Experience)

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 our team:

The Consumer Experience team at Grab leads the way for the overall Grab SuperApp experience including the app's information rich homepage, user profiles, Grab Unlimited (the biggest loyalty program of SEA), new user adoption & retention along with connecting the dots across multiple businesses and experiences that are consumer facing.

Get to know the role:

We are seeking a highly skilled and visionary Lead Data Scientist to join our Consumer Experience team.

You will be building advanced machine learning models for personalization, recommendation, prediction, and optimization for multiple product features in order to enhance the Grab SuperApp experience.

The day-to-day activities:

• Analyze and research large volumes of unstructured data, understand the user experience, the product flow, and strategic direction of applying machine learning technologies in improving the status-quo
• Design, develop, train and deploy advanced machine learning models
• Perform model evaluation and A/B testing to measure the impact of the work
• Effectively communicate results and their implications to business/product stakeholders
• Dedicate time to research the latest advancements and experiment with innovative approaches to test their effectiveness

Qualifications

The must haves:

• Minimum 6 years of relevant experience in developing machine learning algorithms in a large scale and real time environment.
• Ph.D. or Master's in Computer Science, Electrical/Computer Engineering, or related technical disciplines
• Strong fundamentals in Machine Learning, NLP algorithms and Mathematics
• Familiar with mainstream deep learning programming framework (e.g. TensorFlow)
• Familiar with popular personalization and recommendation algorithms.
• Proficient in statistical programming in languages such as Python; and strong working knowledge in RDBMS such as PostgresQL or MySQL
• 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

Really good to haves:

• Experience in user growth, retention algorithms
• Experience in social network related prediction and mining algorithms

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.

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.