Senior Data Scientist (Deliveries & ACE)

Data Science; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you'll leverage data and AI to solve real-world challenges in the delivery and dining sectors. In this role, you'll analyze large-scale datasets to uncover actionable insights and drive impactful decisions that enhance user experiences. Collaborating with cross-functional teams, you'll design, test, and deploy advanced machine learning models that optimize service reliability and improve personalized recommendations. This is an exciting opportunity to contribute to innovation in AI and machine learning within a dynamic and growing industry.

Qualifications

• Experience in developing and deploying machine learning models.
• Strong analytical skills with a focus on data-driven decision-making.

Responsibilities

• Analyze large datasets to uncover insights on user behaviors.
• Design and deploy AI models to enhance service reliability.

Skills

Machine Learning

Data Analysis

AI Model Development

Statistical Analysis

Geospatial Analysis

Education

Bachelor's in Data Science

Master's in Data Science

Tools

Python

R

SQL

TensorFlow

Job description

Get to Know the Team

The Deliveries & ACE Data Science team is at the heart of Grab's delivery and omnicommerce business. We create, deploy, and refine AI/ ML models to enrich the user experience across Grab's food ecosystem—from meal deliveries to restaurant reservations. We are committed to enhancing user satisfaction, promoting growth, and optimising platform efficiency by solving unique challenges in delivery, demand forecasting, and personalised dining experiences.

Get to Know the Role

As a Data Scientist specialising in Deliveries and Dine-out/ Reserve vertical, you will report into the Senior Data Science Manager and work onsite in Grab One North Singapore office. You will help leverage data and AI to solve real-world challenges and drive impactful decisions. You will span advanced analytics, machine learning model development, and collaboration with cross-functional teams to enhance the delivery and dining-out experience for our users.

The Critical Tasks You Will Perform

• You will analyse large-scale datasets (geospatial, behavioural, transactional) to uncover actionable insights about user shopping behaviours and patterns within delivery and dine-out/ reserve services.
• You will use AI to forecast shopping needs, preferences, and cancellation probabilities, improving personalised recommendations and enhancing service reliability.
• You will predict spikes in delivery demand and trends in restaurant reservations using advanced machine learning models.
• You will optimize visibility strategies to match user demand with supply, ensuring efficient network performance and reducing instances of unfulfilled orders.
• You will enable smart targeting of distinct user segments to drive demand generation efforts.
• You will design, test, and deploy AI models, refining them through A/B testing and monitoring their real-time performance.
• You will work with product managers, engineers, analysts, designers, and operations teams to scale and implement impactful solutions across the platform.
• You will contribute to the advancement of the team by driving innovation and creating intellectual property in AI/ ML space for deliveries and omnicommerce.