Data Scientist

Job Description: Life at Grab At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia. Get to know the Team Grab - the leading super app in Southeast Asia - combines transport, food delivery, logistics, payments, and much more in a single platform. The Driver Experience department is dedicated to delivering best-in-class products and experiences to our driver partners, to increase adoption and engagement of our services. Our Data Science team is a long-established core group responsible for Supply Shaping. Harnessing the power of big data and advanced ML methods, we build AI products which help our driver partners work more efficiently and ensure our platform can better serve our consumers. If you are looking for an opportunity to make an impact on the lives of millions of Grab driver partners across South East Asia, then you should join our team! Get to know the Role As a Data Scientist, you will be responsible for the design and implementation of the innovative and effective solutions to supply shaping problems, so as to improve the overall fulfillment service quality and driver experience. We believe a successful candidate has strong technical capability, good communication skills, and a good sense of teamwork and responsibility. The day-to-day activities You'll collaborate with cross-functional teams to define business problems, scope out product development, and deliver solutions. You'll conduct exploratory data analysis to propose improvements to existing products, and generate ideas to shape future projects. You'll build and maintain efficient ETL and ML pipelines to support existing team projects. As for novel model building and algorithm development, you'll use techniques from operations research, machine learning, statistics, probability, and economics. You will also support experiment design and analysis to measure the product impacts, and contribute to the team's innovation and IP creation. Learning Opportunities Be mentored by senior data scientists who are experienced in respective technical domains. Utilize the tech industry’s state-of-the-art ML tools and AI infrastructure. Opportunity to work with peta scale data. The Must-Haves You must have a bachelor's degree in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Operations Research, Mathematics/Statistics, or related technical disciplines. Solid Machine Learning fundamentals: You should have a good understanding of statistics and ML models. Hands-on experience in using mainstream deep learning frameworks (e.g. TensorFlow, PyTorch) is preferred. Experience in forecasting models is a plus. Basic software skills: You must be proficient in one or more of the following programming languages: Python, R, Scala. Knowledge of distributed data processing frameworks will be a plus. Experience with cloud-based development (AWS/Azure) will be a plus. Software engineering experience (including school course projects) will be a plus. You must be self-motivated, passionate to learn about new ML methods and big data infrastructure, and willing to share knowledge with team members. Efficiency, attention to detail, good time management, and excellent communication skills are also expected. Our Commitment We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.