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A leading Southeast Asian superapp is seeking a Senior Data Scientist in Petaling Jaya, Malaysia. You will transform driver-facing problems into data science opportunities, utilizing big data for actionable insights. Ideal candidates have over 4 years of experience and a relevant degree. This role includes developing deep learning models and data pipelines. Competitive benefits and a commitment to a diverse workplace are offered.
Grab 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.
Grab'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.
You will be based onsite in Malaysia and reporting to our Senior Data Science Manager. As a Senior 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.
We care about your well-being at Grab, here are some of the global benefits we offer:
We 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.