Top Data Jobs in Singapore

Manage data analytics for decision-making by translating business questions into analytical outputs, maintaining reports, and ensuring data quality.

The Software Applications Development Engineer develops and improves applications, tests them, communicates with stakeholders, and ensures alignment with client needs and performance requirements.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Growth Data Scientist will analyze complex datasets to improve ad performance, collaborate with teams, and influence product strategies.

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

Lead the design and implementation of a secure, scalable cloud data platform on AWS, integrating various tools for data management and analytics while ensuring compliance and security.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

The Data Scientist will support analytics projects, collaborate on predictive solutions, and assist in deploying machine learning models while engaging stakeholders across GlobalFoundries.

The Head of Data Discovery manages the bank's data discovery platform, ensuring data accessibility and compliance, while enabling analytics innovation across various business units.

Lead end-to-end development of computer vision and multimodal ML models for defect detection, segmentation and classification. Co-design AI-ready inspection cells integrating imaging, robotics and NDT hardware. Partner with data engineers on ETL and Databricks/AWS S3 architectures. Deploy and monitor models in production (on‑prem, cloud, edge). Translate shop-floor inspection requirements into scalable, repeatable digital inspection solutions and collaborate with engineers to productize models into applications and workflows.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

Responsible for managing and expanding enterprise accounts, driving revenue growth through strategic partnerships, client engagement, and deal closure. Requires influencing senior stakeholders and executing complex sales cycles.

As a Data Engineer, you'll own the data infrastructure for business reporting and analytics, focusing on AI features. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with AI product teams.

The Senior Network Engineer leads global network operations, large-scale projects, and process improvements, ensuring network performance, reliability, and security. They collaborate on network design, manage migrations, and maintain infrastructure in a hands-on role covering multiple global sites.

This role involves providing technical support, implementing, and maintaining enterprise IT infrastructure, including troubleshooting, system upgrades, and supporting disaster recovery planning.

The Data & AI Engineer role involves building scalable data pipelines, analytics tools, and applying AI techniques to enhance product performance and operational efficiency in manufacturing operations.

The Data Scientist role involves designing and developing models to analyze structured and unstructured data, creating actionable insights through visualization, and embedding analytics into business processes to drive decision-making.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

The intern will research integration use cases, understand data orchestration challenges, prioritize product requirements, and support product launches while collaborating with teams.

The Director of Investment will identify, structure, and negotiate investment opportunities, manage due diligence, and mentor junior team members.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.