Company Description
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
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
This position will be based onsite in Malaysia. As Lead Data Scientist, you will look into the driver-facing problems and transform these user / business problems into DS problems. 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.
Qualifications
What Essential Skills You Will Need
You have a Degree in computer science, computer engineering, statistics, data science, or other related fields with at least 5 years of experience,
You are familiar with developing data processing Extract, Transform and Load pipelines to support data analysis and modeling tasks
You are familiar with the machine learning lifecycle. Hands-on experience in developing scalable, end-to-end machine learning solutions will be a plus.
You have good understanding of software development lifecycle and engineering practices, experience in writing readable, maintainable and testable code
You are proficient in SQL, Python, TensorFlow (or Pytorch) and Spark
The experience of building real-time streaming applications with Apache Flink will be a plus. Being proficient in Scala or Golang will be a plus.
Additional Information
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 you and your loved ones through life's challenges.
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
