Grab Hiring! Full Time Data Scientist (Supply Planning) in Selangor - Ricebowl

Get to Know the Team

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.

Get to Know the Role

As 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 Perform

• You 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.

What Essential Skills You Will Need

• Degree in computer science, computer engineering, statistics, data science, applied mathematics, economics, operations research, or other related computational fields
• Familiar with developing data processing Extract, Transform and Load pipelines to support data analysis and modeling tasks
• Experience with the machine learning lifecycle. Hands-on experience in developing scalable, end-to-end machine learning solutions
• Understanding of software development lifecycle and engineering practices, experience in writing readable, maintainable and testable code including hands-on experience with unit and model testing
• You are proficient in SQL, Python, TensorFlow (or Pytorch) and Spark
• Hands-on experience with user profiling and behavioral segmentation for building and deploying recommender systems is a significant plus