Top Data Jobs in Singapore

The Senior Associate Data Centre Operations Analyst designs, analyzes, and maintains critical infrastructure systems, ensuring optimal functionality and compliance with safety standards in data center environments.

The Associate Systems Integration Specialist will learn to manage configurations, installations, and support break/fix events with the TS Systems Integration team.

The Associate Systems Integration Specialist learns to manage configurations, installations, and break/fix events and supports senior engineers during the project lifecycle.

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support business development, mentor junior architects, and influence sales strategies, ensuring successful implementation for clients.

Design and implement data-driven risk surveillance solutions for Consumer Financial Services covering Sales, AML and Operational risk. Build analytics, dashboards and automation using SQL, Python, Power Platform and GenAI; ensure model governance, data quality, documentation and compliance with regulatory expectations while supporting stakeholders and continuous improvement.

Operate and support multi-cloud data platform components (Alibaba Cloud and AWS). Build monitoring, SLA/SLOs, respond to incidents, troubleshoot and root-cause issues, optimize compute/storage and cloud costs, develop automation and operational tooling, and collaborate with data and platform teams and cloud vendors to improve platform reliability.

Lead CuspAI's data strategy and team to acquire, generate, curate, and deliver ML-ready materials data. Build partnerships, prioritize data investments, oversee data-generation programs, set quality/provenance standards, and act as single point of accountability for research data commitments.

Design, build, and productionize ML models for credit scoring, fraud detection, and segmentation. Maintain model governance and documentation, develop scalable MLOps pipelines and monitoring, generate analytical insights and dashboards, and mentor junior data scientists while leading end-to-end data science initiatives.

Lead strategy and execution of data analytics and data science across the organisation: build and mentor teams, partner with cross-functional stakeholders, drive data-driven initiatives that improve risk management and business metrics, uplift tooling and capabilities, and ensure data governance and regulatory compliance across markets.

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.

Provide hands-on post-sales technical support for enterprise storage customers: troubleshoot, resolve, escalate issues, perform field services (installs/upgrades), manage feature requests/bugs, and collaborate with sales, professional services, and engineering.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

The Infra Product Manager will develop algorithm platforms and Web3 search systems, integrate AI capabilities, analyze on-chain data, and ensure product delivery quality.

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

Sell security technology solutions by generating pipeline, engaging clients and stakeholders, leading workshops, supporting pre-sales, designing tailored security solutions, maintaining subject-matter expertise, managing account plans, and collaborating with sales and vendor partners to close deals and meet revenue targets.

Design, build, and maintain a unified data framework, scalable data pipelines, and data models. Improve data ingestion, quality, monitoring, and governance; troubleshoot pipeline issues; optimize performance; integrate third-party tools; and apply AI techniques to enhance data quality and engineering workflows.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.