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Senior Data Scientist (Deliveries & ACE)

SpringCube

Full time - Senior Associate/ Asst Manager

Retail & Ecommerce

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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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

A Singaporean multinational technology company has developed a super-app providing users with access to a wide range of services. Headquartered in Singapore, it operates in several Southeast Asian countries, including Malaysia, Cambodia, Indonesia, Myanmar, the Philippines, Thailand, and Vietnam.

Job Title: Senior Data Scientist (Deliveries & ACE)

The Critical Tasks They Will Perform

They 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.

They will use AI to forecast shopping needs, preferences, and cancellation probabilities, improving personalised recommendations and enhancing service reliability.

They will predict spikes in delivery demand and trends in restaurant reservations using advanced machine learning models.

They will optimize visibility strategies to match user demand with supply, ensuring efficient network performance and reducing instances of unfulfilled orders.

They will enable smart targeting of distinct user segments to drive demand generation efforts.

They will design, test, and deploy AI models, refining them through A/B testing and monitoring their real-time performance.

They will work with product managers, engineers, analysts, designers, and operations teams to scale and implement impactful solutions across the platform.

They will contribute to the advancement of the team by driving innovation and creating intellectual property in AI/ ML space for deliveries and omnicommerce.

What Essential Skills They Will Need

They have a Master Degree in Machine Learning, Statistics, Applied Mathematics, Computer Science, Economics, Operations Research, or a related field

They have at least 3 years of experience analysing large-scale datasets to extract business insights (e.g. geospatial, behavioural, and transactional data).

They have knowledge in machine learning, deep learning, optimization algorithms, and data mining techniques. Familiarity with ML frameworks like TensorFlow or PyTorch is essential for building and refining predictive models.

They are competent in Python or Scala to design and implement machine learning pipelines.

They can forecast, shape, and generate demand using AI-powered strategies within delivery, booking, or e-commerce verticals.

They have experience applying AI solutions to real-world problems, in deliveries, booking industries, or e-commerce applications.

Disclaimer

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  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
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