Top Data Jobs in Singapore

Lead design and implementation of cloud DevOps strategy for global Data and AI infrastructure. Build observability and detection capabilities, enable self-service tooling for data teams, manage scalable, secure infrastructure, and align DevOps practices and standards across geographies.

Design and implement smart manufacturing AI solutions for advanced factory scheduling, optimization, and simulation. Build analytics and applications, apply new algorithms, collaborate across global sites, drive benchmarking, and support continuous improvement of production metrics.

The Data Scientist will optimize semiconductor processes, analyze data, develop visualization tools, and support production through advanced analytics and modeling.

The Partner Development Manager is responsible for strategizing and managing partnerships with GSIs and System Integrators in ASEAN to drive revenue, increase brand awareness, and develop go-to-market strategies.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

Lead procurement data strategy to enable agentic AI: design agent-embedded governance, define agent-consumable data requirements, build lineage/catalog foundations, establish machine-readable policies and feedback loops, run experiments, and coach cross-functional stakeholders to operationalize master data and data quality at scale.

The Principal Data Scientist will optimize semiconductor yields, develop data pipelines, apply advanced analytics, support experimentation, and communicate findings effectively.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Design, build, test, deploy, and maintain scalable, resilient cloud-based data pipelines and microservices (primarily on AWS). Implement ETL/ELT, data lake/warehouse solutions, support analytics integration, enforce data quality, and follow Agile DevOps practices with CI/CD and IaC.

Designs and delivers data architecture solutions, creates secure production code, evaluates technologies, guides architecture governance, and applies AI-assisted practices to improve data frameworks, resiliency, and security.

Work with platform users, analysts and data engineers to design, test and document data models, pipelines and BI solutions. Implement data validation, reconciliations and controls, support ad-hoc analysis and external financial reporting to maintain a scalable, reliable data platform.

Design and deploy real-time ML models and credit risk frameworks to detect fraud and assess merchant lending risk. Translate business needs into scalable analytics, monitoring, and decision-support tools. Partner with product, engineering, and operations to productionize models and improve risk visibility and decision quality.

Manage privacy operations including data subject rights (DSR) intake and responses, PIAs/DPIAs, RoPA/data inventories, vendor privacy reviews, privacy tooling, metrics, and incident support to maintain global privacy program compliance.

Serve as ASOs single front door for Operations demands across Asia, translating business needs into prioritized initiatives, managing demand pipeline, shaping improvement using AI/data/APIs, and coordinating stakeholders to deliver operational efficiency, compliance, and value realization.

Lead Markets Operations control, country oversight and data governance: design and embed control frameworks, ensure regulatory and country compliance, run data strategy and MIS, establish KPI/KRI/SLA reporting, drive control transformation and automation, and build a specialist team to sustain operational resilience and assurance.

Design and optimize end-to-end account safety frameworks and fraud detection strategies. Use data analytics, ML/DL, graph methods and LLM-assisted analysis to detect anomalies and malicious behavior. Build, deploy, and monitor scalable real-time models and rule engines, run A/B tests, and collaborate with engineering, product, and risk teams to balance user experience and risk control.

Lead strategy, development, commercialization and lifecycle management of indicative pricing and market data products for capital markets across APAC. Define roadmap, drive revenue and P&L, partner with broking, engineering, analytics and sales, ensure methodology and data governance, engage clients and partners, and mentor product teams to deliver market-leading data and analytics solutions.

Lead semiconductor manufacturing analytics: own test analytics strategy, build analytics platforms, implement quality screening (PAT, SBL, outlier detection), integrate foundry/OSAT/MES systems, design data infrastructure and automation (ETL, dashboards), and drive operational excellence across wafer, assembly, test, and quality.

Serve as primary customer contact overseeing project delivery and ongoing service operations for data center projects. Manage SLAs, costs, quality, schedules, risks, cross-functional coordination, and continuous improvement to ensure customer satisfaction and contract compliance.

Provide on-the-ground administrative, logistical and personal/family support to the Executive Director in Singapore; coordinate with the Hong Kong EA; arrange and process business travel and expenses; support other senior executives' travel/expense needs; liaise with internal teams, vendors, schools and service providers; handle confidential matters and urgent requests with discretion.

Serve as primary customer contact for data center project delivery and operations. Ensure SLA compliance, manage costs, lead virtual delivery teams, coordinate cross-functional resources, oversee construction/customization projects, drive continuous improvement, and ensure adherence to procurement, audit, and ITIL processes to maximize customer satisfaction.

Serve as primary customer contact to manage project delivery and ongoing data center services. Lead cross-functional teams to meet SLAs, control costs, manage schedules, quality, risks and escalations, drive continuous improvement, ensure compliance with procurement and ITIL processes, and secure customer acceptance.

Support the Customer Success Manager by coordinating customer communications, tracking SLA performance, preparing reports, assisting project schedules and documentation, ensuring compliance with ITIL and governance, and liaising across operations, network, IT, and construction teams to resolve issues and improve service delivery.