Job Description

Company DescriptionAbout Grab and Our WorkplaceGrab 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 Fulfilment TeamThe Fulfilment tech family is one of the pillars ensuring Grab out-serves our consumers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use machine learning techniques to solve hundreds of millions of requests per day. Our mission is to offer the best products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency to fulfil customer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is both sustainable and loved by our partners and consumers.Get to know the RoleAs Lead Data Scientist, you will report into the Senior Data Science Manager and be based onsite in Singapore. You will use big data to derive actionable insights and design solutions. You will develop deep learning, reinforcement learning, and optimisation models to solve challenges related to supply repositioning, activation, and incentivisation within Grab\'s marketplace.The Critical Tasks You Will Perform

• You will collaborate with stakeholders to identify business problems and requirements related to driver repositioning, activation, and incentivisation.
• You will translate business problems into data science problems, formulating and designing potential solutions.
• You will retrieve and analyse relevant data for exploratory analysis, feasibility studies, and solution prototyping.
• You will create technical documents outlining methodologies and findings, and present solutions to business stakeholders to ensure agreement.
• You will design overall architectures for solutions in collaboration with different technical teams, develop data science solutions, and support integration with Engineering systems.
• You will participate in code and design reviews to maintain high development standards, build dashboards to monitor the health of solutions, and maintain these solutions.
• You will design and conduct experiments to evaluate the impact of solutions.

QualificationsWhat Essential Skills You will Need

• You have a PhD in Computer science, Operations Research, Mathematics, Statistics, or related fields
• You have at least 3 years of experience in reinforcement learning, deep learning, optimisation, or operations research.
• You can develop production-grade machine learning systems, including exploratory analysis, feature engineering, developing data pipelines, and ensuring observability and maintenance.
• You have statistical and large-scale data analytics skills.and are proficiency in Python and SQL.
• You have experience with machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with distributed systems and cloud services (AWS, GCP, or Azure).

Additional InformationLife at GrabWe 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 GrabWe 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.

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