Top Data Jobs in Singapore

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

Own and maintain the analytics stack: implement tracking from user interaction to Mixpanel/GA4/AppsFlyer via Segment, manage infrastructure with Terraform, audit pipelines and schemas, translate business needs into tracking, and configure troubleshooting for mobile/web attribution, deep-linking, and postbacks.

The AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

The Data Engineer will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, own the full release pipeline, investigate and resolve production issues (on-call), and build automation and tooling to make large-scale database operations safe and repeatable.

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

Lead Data Engineers design and implement data solutions, manage projects, collaborate with stakeholders, and ensure data governance and security.

As a Data Science and Engineer Intern, you will gather user requirements, assist in ETL pipeline development, create statistical models, and develop BI dashboards while supporting AI initiatives.

Lead and scale Visa's Asia Pacific data science organization to deliver AI-first, high-impact analytics and commercial outcomes. Drive client engagements, P&L results, commercialization of analytics, cross-functional partnerships, and regional capability building across multi-market teams.

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.

Design and productionize LLM/GenAI solutions (RAG, search/Q&A, extraction, summarization) for document-driven inspection workflows. Build ingestion/indexing pipelines, integrate services with applications, drive PoCs to production, and ensure responsible, governed model use with cross-functional teams.

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.

Lead consulting workstreams in Financial Services, embed AI and digital capabilities, manage client relationships, mentor junior staff, run workshops, produce strategic recommendations, and support business development.

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.

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

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

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.

The role involves leading AI integration, data analysis, and collaboration with stakeholders while mentoring junior analysts and optimizing business processes.

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.