Senior Data Scientist (Supply Planning)

Data Science; Selangor; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading tech company in Malaysia is seeking a Senior Data Scientist to enhance the driving experience for partners. You will leverage AI to transform business challenges into data science opportunities, developing machine learning models and deploying scalable solutions. Strong collaboration skills with stakeholders and expertise in big data are essential for this role.

Qualifications

• Proven experience in developing machine learning models.
• Strong understanding of big data technologies.
• Ability to translate business problems into data science solutions.

Responsibilities

• Collaborate with stakeholders to identify business problems.
• Translate business problems into data science problems.
• Develop and deploy scalable data science solutions.

Skills

Deep learning

Reinforcement learning

Data analysis

Problem-solving

Job description

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 optimise the supply utilisation 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 optimisation models to solve challenges related to supply repositioning, activation, and incentivisation 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.