Senior Data Scientist (Supply Planning)

Data Science; Selangor; On-site; MYR 90,000 - 120,000; Full time

Job summary

A leading technology company in Malaysia is seeking a Senior Data Scientist to tackle driver-facing challenges and transform them into data science opportunities. In this role, you will use big data to derive actionable insights and design solutions, focusing on deep learning and reinforcement learning models. The position involves collaborating with stakeholders, analyzing data, and developing scalable solutions to enhance driver partner experiences. A Master's degree in Data Science or a related field is required.

Qualifications

• Experience in developing deep learning and reinforcement learning models.
• Strong data analysis skills with a focus on deriving actionable insights.
• Proven ability to translate business problems into data science solutions.

Responsibilities

• Collaborate with stakeholders to identify business requirements.
• Translate business problems into data science problems.
• Retrieve and analyse data for exploratory analysis and feasibility studies.
• Develop and deploy scalable data science solutions.
• Build dashboards to monitor the performance of data science systems.

Skills

Deep learning

Reinforcement learning

Optimization models

Data analysis

Education

Master's degree in Data Science or relevant field

Tools

Big Data technologies

Dashboarding tools

Job description

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

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.

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.