drjobs Lead Data Scientist (Supply Planning)

Lead Data Scientist (Supply Planning)

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1 Vacancy
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Job Location drjobs

Petaling Jaya - Malaysia

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Get to Know the Team

Grabs 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 Grabs 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 lifes 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.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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