Job Description

Company Description
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Get to know the Team
In the ACE (Deliveries, Mart, Omnicommerce) Data Science team you are at the core and center of Grab's delivery and omnicommerce business. We build and deploy AI/ML models to empower seamless user experiences across Grab's food ecosystem, from meal deliveries to restaurant reservations. Our mission is to enhance user satisfaction, drive growth, and optimize platform efficiency by leveraging data science to solve unique challenges in delivery, demand forecasting, and personalized dining experiences.
Get to know the role
We are looking for Lead data scientists who will own their projects end-to-end, from defining the problem space, proposing scalable DS solutions, implementing DS services and to conducting experiments and model enhancement. You will work closely with cross functional stakeholders including Engineering, analytics, Product etc, independently to deliver advanced data-driven solutions.
The Critical Tasks You Will Perform

• Extract Insights: Analyze massive datasets (geospatial, behavioral, transactional) to understand user shopping patterns, improve user experiences for delivery and dine-out/Reserve services.
• Identify business opportunity and propose AI solutions to solve user problem and create business impact:

• User Experience: Predicting users shopping needs & shopping patterns, shopping preference, cancellation probability and etc. Identify ways to improve our user experience by providing them most personalised recommendations, improving service reliability, etc
• Demand Forecasting: Predict meal delivery demand spikes and restaurant reservation trends.
• Demand Shaping: optimise visibility to ensure we are shaping demand to meet supply to optimise the network throughput and reduce unfulfilled demand
• Demand generation: enable smart targeting of different user segments for demand generation
• Build, Iterate and Deploy: Build AI models to enable business. Continuously refine models through A/B testing and production monitoring.
• Collaborate Cross-Functionally: Partner with product managers, engineers, analytics, design and operations teams to scale solutions.
• Contribute to team's innovation and IP creation

Qualifications
What Essential Skills You Will Need
Master's Degree or Ph.D. graduate with at least 5 years of experience, in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field
Extensive proven experience as a Data Scientist, preferably within the food delivery, booking or e-commerce industries.
Deep understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization. Experience with machine learning framework (Tensorflow, pytorch, etc)
Proficient in one or more of the following programming languages: Python, Scala.
Self-motivated, independent learner, and willing to share knowledge with team members
Excellent interpersonal and communication skills to foster collaboration with team members and effectively articulate insights to stakeholders.
Ability to thrive in a dynamic, fast-paced work environment, managing multiple priorities simultaneously.
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

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. '