Data Scientist (Supply Planning)

Data Science; Selangor; Presencial; MYR 120 000 - 190 000; Tempo integral

Resumo da oferta

Grab's data science team is dedicated to using AI to provide driver partners with data-driven instructions and incentives that optimize supply utilization under varying market conditions.

As a Data Scientist, you will tackle driver-facing challenges, leverage big data for actionable insights, and develop deep learning, reinforcement learning, and optimization models for supply repositioning, activation, and incentivisation within Grab's marketplace.

Responsabilidades

• Collaborate with stakeholders to identify driver repositioning, activation, and incentivisation business problems and requirements.
• Translate business problems into data science problems and design potential solutions.
• Retrieve and analyse relevant data for exploratory analysis, feasibility studies, and solution prototyping.
• Develop and deploy scalable data science solutions and measure their impact via experiments.
• Build dashboards to monitor the health of DS systems and continuously improve solutions.

Descrição da oferta de emprego

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 and be base onsite in our 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.