Lead Data Scientist (Dispatch)

{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist (Dispatch)","description":"\u003Cp\u003E\u003Cstrong\u003EAbout Grab and Our Workplace\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EGrab is Southeast Asia\u0027s leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we\u0027ve 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.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to Know the Team\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EGrab\u0027s Fulfillment Dispatch Data Science team tackles allocation and batching challenges to ensure passengers, driver-partners, consumers, and merchants experience reliable fulfillment Dispatch at Grab involves solving sequential decision-making problems through multi-stage optimization rather than static matching. This requires working on Reinforcement Learning (RL), Optimization, Simulation, and Graph Theory research and applications.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EGet to Know the Role\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EAs a Lead Data Scientist, you\u0027ll report into the Senior Data Science Manager and work onsite at Grab One North Singapore office. You\u0027ll build and deploy RL and optimization models that improve dispatch operations across our marketplace. You\u0027ll lead the lifecycle of our dispatch models\u2014from understanding business needs and identifying areas for investigation, to translating them into technical problems and delivering solutions.\u003C/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe Critical Tasks You Will Perform\u003C/strong\u003E\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EYou\u0027ll analyse high-volume, high-velocity data to prototype reinforcement learning and optimization models, then engineer these into production-grade systems\u003C/li\u003E\u003Cli\u003EYou\u0027ll design, develop, and deploy production-grade models that improve dispatch decisions and respond to changes in market conditions\u003C/li\u003E\u003Cli\u003EYou\u0027ll build data pipelines and conduct experiments (A/B tests, randomised controlled trials) to measure the real-world impact of your models\u003C/li\u003E\u003Cli\u003EYou\u0027ll communicate technical results and their business implications to product and business stakeholders, including explaining model behaviour in non-technical terms\u003C/li\u003E\u003Cli\u003EYou\u0027ll keep current with reinforcement learning and operations research developments, share knowledge with your team and the data science community at Grab, and contribute to our technical competitive advantages\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat Essential Skills You Will Need\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003ETo perform these tasks, you\u0027ll need:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EAdvanced degree in a technical field \u2013 A PhD in Computer Science, Operations Research, Industrial \u0026amp; Systems Engineering, Mathematics, or related disciplines with at least 5 years of relevant experience. This equips you with the theoretical foundations needed to design complex optimization and learning algorithms.\u003C/li\u003E\u003Cli\u003ERL and optimization expertise \u2013 Experience developing production-grade RL and Operation Research (OR) systems, including feature extraction, data pipelines, and system maintenance. You need this to build models that make real-time dispatch decisions.\u003C/li\u003E\u003Cli\u003EStatistical and analytical skills \u2013 Knowledge of probability and statistics (hypothesis testing, modelling distributions, Bayesian statistics) and experience with large-scale data analytics using Spark or Kafka. You need this to design experiments and process the massive datasets generated by our marketplace.\u003C/li\u003E\u003Cli\u003EProgramming proficiency \u2013 Fluency in Python for model development, and familiarity with cloud-based development environments (AWS or Azure) and test-driven development. You need Python to implement algorithms and cloud platforms to deploy models at scale.\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003ELife at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe care about your well-being at Grab, here are some of the global benefits we offer:\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EWe have your back with \u003Cstrong\u003ETerm Life Insurance \u003C/strong\u003Eand comprehensive \u003Cstrong\u003EMedical Insurance.\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EWith \u003Cstrong\u003EGrabFlex, \u003C/strong\u003Ecreate a benefits package that suits your needs and aspirations.\u003C/li\u003E\u003Cli\u003ECelebrate moments that matter in life with loved ones through \u003Cstrong\u003EParental\u003C/strong\u003E and \u003Cstrong\u003EBirthday leave\u003C/strong\u003E, and give back to your communities through \u003Cstrong\u003ELove-all-Serve-all (LASA)\u003C/strong\u003E volunteering leave\u003C/li\u003E\u003Cli\u003EWe have a confidential \u003Cstrong\u003EGrabber Assistance Programme\u003C/strong\u003E to guide and uplift you and your loved ones through life\u0027s challenges.\u003C/li\u003E\u003Cli\u003EBalancing personal commitments and life\u0027s demands are made easier with our FlexWork arrangements such as differentiated hours\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003E\u003Cstrong\u003EWhat We Stand For at Grab\u003C/strong\u003E\u003C/p\u003E\u003Cp\u003EWe 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.\u003C/p\u003E","identifier":"REF5141E","mainEntityOfPage":"https://www.grab.careers/en/jobs/744000125606149/lead-data-scientist-dispatch/","url":"https://www.grab.careers/en/jobs/744000125606149/lead-data-scientist-dispatch/","datePosted":"2026-05-10","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"Grab","url":"https://www.grab.com/sg/","logo":"https://www.grab.careers/images/logo.svg"},"industry":"Data Science","jobLocation":{"@type":"Place","name":"Singapore","address":{"@type":"PostalAddress","name":"Singapore","addressCountry":"Singapore","addressLocality":"Singapore","streetAddress":"Grab One North"}}}