Urgent! Senior Data Scientist (Fulfilment) Job Opening In Singapore, Singapore – Now Hiring Grab
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
The Fulfilment Tech Family is a foundational part of Grab, enabling seamless coordination between our diverse marketplaces across Southeast Asia.
We design real-time, distributed systems and machine learning solutions to process hundreds of millions of requests per day, driving efficient supply allocation, pricing, and order matching.
Our mission:
Deliver best-in-class products for our driver-partners.
Maximise efficiency in fulfilling consumer demand – rain or shine.
Create sustainable, efficient marketplaces that balance experience and cost for all stakeholders.
We're looking for a Senior Data Scientist to join our Fulfilment team and take the lead in Fulfilment strategy optimization – bringing existing optimisation and automation of our pricing, dispatch and supply management policies to the next level.
Get to Know the Role
You'll optimize cross-system fulfilment strategies, and lead model development with user and driver behavioural prediction, optimisation and reinforcement learning (RL) techniques.
Your primary objective will be to enhance marketplace operations by constructing interpretable, adaptable multi-agent RL systems or decision agents that can manage diverse objectives and disruptions.
You'll report to the Head of Data Science and work onsite at Grab's One North Singapore office.
The Critical Tasks You Will Perform
You'll design and implement cross-system strategies to improve operational efficiency in fulfilling user demands and boosting driving utilisation.
You'll build advanced DL and LLM models to capture the spatial-temporal patterns of dynamic marketplace conditions.
You'll develop advanced ML/DL models to predict user and driver behaviours, and use the behavioural insights to inform decision-making and platform interventions.
You'll build and deploy interpretable, adaptable optimisation models, RL systems or decision agents, that can handle multi-objectives and real-world disruptions.
You'll collaborate with machine learning engineers and backend engineers to integrate the ML/DL, optimization or RL models into real-time production systems.
You'll create technical documents outlining the methodologies and findings of your work.
You'll also present solutions to non-technical stakeholders.
Qualifications
What Essential Skills You Will Need
You hold a Master degree in Computer Science, Operations Research, Applied Mathematics, or related field with at least 2 years of relevant experience.
You have professional experience or academic publications in Reinforcement Learning, Stochastic Control, Behavioural Modelling, Optimisation Under Uncertainty.
You have experience developing and deploying ML models that incorporate online learning, Markov Decision Processes, or simulation-based optimization.
You are fluent in Python and ML frameworks (e.g., PyTorch, TensorFlow).
You are familiar with distributed computing systems or scalable training platforms (e.g., Spark, Ray).
You can explore new ideas and learn new skills to accomplish tasks.
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.
Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
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.
We are not listing external job postings here; this section is for context about Grab and the role.
Note: This job posting is for a Senior Data Scientist in the Fulfilment team.
Location: Singapore (onsite) at One North.
Employment type: Full-time.
Seniority level: Mid-Senior level.
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
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Great news! Grab is currently hiring and seeking a Senior Data Scientist (Fulfilment) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Scientist (Fulfilment) Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Grab adheres to the cultural norms as outlined by Expertini.
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Key qualifications for Senior Data Scientist (Fulfilment) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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