Data Scientist (Supply Planning)

Data Scientist (Supply Planning)Full-timeCompany 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.Job DescriptionGet to Know the TeamGrab's supply planning team is dedicated to enhancing the experience of our driver partners, ensuring they can drive smartly and effectively. As the data science team, we will leverage AI technologies to provide driver partners with strategic, data-driven instructions and incentives, so as to optimize the supply utilization given the various market conditions.Get to Know the RoleAs a Data Scientist, you will look into driver-facing problems and transform these user and business challenges into data science opportunities. You will use big data to derive actionable insights and design solutions. You will develop deep learning, reinforcement learning, and optimization models to solve challenges related to supply repositioning, activation, and incentivization within Grab's marketplace.You will report to our Senior Data Science Manager. This role will be a 2-Years Fixed-Term Contract under Grab and will be base onsite in our Petaling Jaya, Selangor, Malaysia office.The Critical Tasks You Will PerformYou will collaborate with stakeholders to identify the business problems and requirements about driver repositioning, activation and incentivisation.You will translate the business problems into data science problems, formulate them and design potential solutions.You will retrieve and analyse relevant data for exploratory analysis, feasibility studies, and solution prototyping.You will develop and deploy scalable data science solutions, and measure their impact via experiments.You will build dashboards to keep monitoring the health of DS systems, and continuously maintain and improve the solutions.QualificationsWhat Essential Skills You Will NeedDegree in computer science, computer engineering, statistics, data science, applied mathematics, economics, operations research, or other related computational fieldsFamiliar with developing data processing Extract, Transform and Load pipelines to support data analysis and modeling tasksExperience with the machine learning lifecycle. Hands-on experience in developing scalable, end-to-end machine learning solutionsUnderstanding of software development lifecycle and engineering practices, experience in writing readable, maintainable and testable code including hands-on experience with unit and model testingYou are proficient in SQL, Python, TensorFlow (or Pytorch) and SparkHands-on experience with user profiling and behavioral segmentation for building and deploying recommender systems is a significant plusAdditional InformationLife at GrabWe care about your well-being at Grab, here are some of the global benefits we offer:We have your back withTerm Life Insuranceand comprehensiveMedical Insurance.WithGrabFlex,create a benefits package that suits your needs and aspirations.Celebrate moments that matter in life with loved ones throughParentalandBirthday leave, and give back to your communities throughLove-all-Serve-all (LASA)volunteering leaveWe have a confidentialGrabber Assistance Programmeto guide and uplift you and your loved ones through life's challenges.Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hoursWhat We Stand For At GrabWe are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyJob LocationGoogle Maps requires functional cookies to be enabledI'm interestedI'm interestedPrivacy Notice