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Lead Data Scientist (Supply Planning)

SpringCube

Full time - Manager

Logistics & Transportation

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

This company is a leading technology platform in Southeast Asia, providing everyday services that matter to consumers, drivers, and merchants. Operating across various countries, they are dedicated to leveraging technology to improve lives and create economic empowerment for everyone in the region. Their data-driven approach fuels innovation and enables them to tackle complex challenges in a dynamic and rapidly evolving market.

Lead Data Scientist (Supply Planning)

Get to Know the Team

The supply planning team is dedicated to enhancing the experience of driver partners, ensuring they can drive smartly. The data science team within this group utilizes AI technologies to provide driver partners with strategic, data-driven instructions and incentives, aiming to improve supply utilization given market conditions.

Get to Know the Role

As Lead Data Scientist, the individual will spearhead data science development efforts and coordinate collaboration with various functional teams, including Engineering, Product Management, and Design. This role involves leveraging big data to derive actionable insights and design innovative solutions. The responsibilities include developing deep learning, reinforcement learning, and optimization models to address challenges related to supply repositioning, activation, and incentivization within the company’s marketplace. Reporting to the Senior Data Science Manager, this position is based onsite in their One North office.

The Critical Tasks You Will Perform

  • Collaborate with stakeholders to identify business problems and requirements related to driver repositioning, activation, and incentivization.
  • Translate business problems into data science problems, formulating and designing potential solutions.
  • Create technical documents outlining methodologies and findings, and present solutions to business stakeholders to ensure agreement.
  • Design overall architectures for solutions in collaboration with different technical teams, develop data science solutions, and lead integration with Engineering systems.
  • Participate in code and design reviews to maintain high development standards.
  • Design and conduct experiments to evaluate the impact of solutions.
  • Mentor junior team members.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.