Data Scientist (Supply Planning)

Grab

Petaling Jaya

On-site

MYR 120,000 - 190,000

Full time

14 days+
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Benefits offered by this job

Term Life Insurance
Medical Insurance
GrabFlex benefits
Parental leave
Birthday leave
LASA volunteering leave
Grabber Assistance Programme

Job summary

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

Qualifications

  • Degree in computer science, statistics, data science, or related field.
  • Experience with data processing pipelines (ETL) for analysis and modeling tasks.
  • Hands-on experience with the ML lifecycle and scalable end-to-end ML solutions.
  • Understanding of software development lifecycle; write readable, testable code.
  • Proficient in SQL, Python, TensorFlow/PyTorch and Spark.

Responsibilities

  • Collaborate with stakeholders to identify driver repositioning, activation and incentive problems.
  • Translate problems into data science formulations and design potential solutions.
  • Retrieve and analyse data for exploratory studies and prototyping.
  • Develop, deploy and measure scalable DS solutions; build monitoring dashboards.

Skills

SQL
Python
ML lifecycle
Software testing
Unit tests

Education

Bachelor's or higher in CS/Math/Data Science

Tools

TensorFlow
PyTorch
Spark
ETL pipelines

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

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.

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

Life at Grab

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.

What We Stand for At Grab

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.

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