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Grab in Malaysia is seeking a Data Scientist to turn driver-related challenges into scalable data-driven solutions. You will work with big data to derive insights and build models for supply repositioning, activation and incentives within Grab's marketplace.
You will report to our Senior Data Science Manager and be base onsite in our Malaysia office. You will collaborate with stakeholders to translate business problems into data science formulations, develop and deploy ML solutions, and monitor
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.
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 and be base onsite in our Malaysia office.
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.
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
We 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 leave
We have a confidential Grabber Assistance Programme to guide and uplift your family.
Balancing personal commitments and life's demands are made easier.
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.