Grab

Senior Data Scientist - Supply Planning

Grab

Singapore · Full Time

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Experience
3+ yrs
Salary
Openings
1
Posted
1 day ago
Work mode
In office
Education
Degree in computer science, statistics, data science, applied mathematics, economics, operations research or related computational fields
Resume
Required to apply

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Job description

About Grab and Our Workplace

Grab is Southeast Asia's premier superapp, offering services ranging from meal deliveries to financial management and ride-hailing to simplify daily life. The company is driven by a mission to boost Southeast Asia's economic progress, leveraging advanced Technology and AI, guided by values of heart, hunger, honour, and humility.

Role Overview

The Supply Planning team at Grab focuses on improving the operational experience of driver partners by ensuring efficient work strategies. As a key member of the data science team, you will apply AI-driven approaches to devise strategic, data-based guidance and incentives, optimizing supply usage amid diverse market dynamics.

Key Responsibilities

  • Partner with stakeholders to identify and understand challenges related to driver repositioning, activation, and incentive mechanisms.
  • Convert business challenges into concrete data science problems, generating viable solution designs.
  • Extract, analyze, and interpret relevant large datasets for exploratory analysis, feasibility assessments, and prototyping.
  • Create and roll out scalable data science models, evaluating their effectiveness through experimentation.
  • Develop monitoring dashboards to oversee the health and performance of deployed data science systems, implementing continuous improvements.

Qualifications and Skills

  • Minimum 3 years of experience in relevant data science fields with a degree in computer science, engineering, statistics, applied mathematics, economics, operations research, or related areas.
  • Proficiency in constructing ETL pipelines to support advanced mathematical modeling and optimization processes.
  • Hands-on experience with linear programming, mixed-integer linear programming, or non-linear programming to model and solve rigorous operations research problems.
  • Competence in designing customized heuristic or meta-heuristic algorithms (such as genetic algorithms) to handle computationally demanding, large-scale optimization tasks where exact solutions are impractical.
  • Sound software engineering practices, including writing clean, maintainable, and testable code; familiarity with unit and model testing is essential.

Additional Information

  • Comprehensive benefit offerings including Term Life Insurance and complete Medical Insurance coverage.
  • Flexible benefits program (GrabFlex) allowing customization of perks according to personal needs.
  • Generous leave policies including parental, birthday, and community volunteering leaves (Love-all-Serve-all program).
  • Confidential support services through Grabber Assistance Programme to help employees and their families manage life's challenges.

Diversity and Inclusion

Grab is committed to fostering an inclusive and equitable workplace environment where diversity thrives. We provide equal employment opportunities irrespective of nationality, ethnicity, religion, age, gender identity, sexual orientation, physical or mental abilities, and other personal attributes, ensuring fair treatment for all applicants.

Minimum education

Bachelor's Degree

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