Data Scientist (Supply Planning)

Data Scientist (Supply Planning) Team Data Science Location Petaling Jaya, Malaysia Job Type Full-time The role at a glance Get 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 and be base onsite in our 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. Read more Skills you need What 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 plus Read more What we offer About 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. Read more Life at Grab Life 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 leaveWe have a confidential Grabber Assistance Programme to 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. Read more Videos To Watch Play video View our location For over a decade, Grab has seamlessly connected Malaysian people to a range of services—food, groceries, rides, and more. Take a tour and get to know this one-stop destination for making life more convenient for the local community. [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] [Click to enlarge image] Meet the Data Science team Our Data Science team is on a mission to create delightful experiences for our users. Every day, they dive into the data to uncover new and intelligent ways to deliver hyperlocal services and solutions to our communities in Southeast Asia. Every small step of innovation at Grab has an instant impact on hundreds of millions of active users. Nothing is more exciting than facing challenges, exploring uncertainties and advancing the state-of-the-art in artificial intelligence. “ ” My journey has been fueled by a passion for making a tangible impact through data. Having been a Senior Data Scientist at GrabFin, and now a Lead Data Scientist at Grabads, I found the perfect opportunity to work with massive datasets, which has led to greater impact in my work. “ ” I get to bring data to life throughout the product journey – from scoping problems and setting metrics to experimenting and tweaking things for the better. It's not just about numbers; it's about actively shaping and improving our products every day. “ ” The Application Process What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like. Step 1: Apply. We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate. Step 2: Getting to know you. Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences. Step 3: Testing, testing… 123. Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details. Step 4: Is it a culture match? Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.