Top Data Jobs in Singapore

Partner with clients to design and deliver end-to-end analytics and data science solutions. Manage project workstreams, synthesize quantitative and qualitative analyses into recommendations, lead client presentations, mentor junior consultants, and contribute to solution development and intellectual capital.

The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

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 leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

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.

This role focuses on improving productivity in labor operations through program management, data analysis, and implementing AI and automation solutions.

The SR Data Scientist will analyze data in semiconductor manufacturing, optimize yields, develop data pipelines, support experiments, and communicate findings using visualization tools.

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

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

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

As a Data Scientist, you will optimize semiconductor manufacturing processes through data analysis, develop predictive models, and automate data workflows.

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.

Design, build, test and support batch and streaming data pipelines and curated datasets on a modern Lakehouse and AI data platform. Implement data modelling, schema evolution, partitioning and data quality controls. Partner with platform teams and consumers, contribute tooling and standards, and lead delivery for workstreams while supporting junior engineers.

The Associate Director will lead engineering strategy, oversee multiple teams, ensure quality delivery of applications, and promote a high-performing, innovative engineering culture.

Partner with customers in APJ to design, run, and analyze experiments; advise on statistical methodology, measurement frameworks, and experimentation architecture; create enablement materials; collaborate with Sales, SE, Product, and Engineering to scale experimentation programs and influence product direction.

Lead development and evolution of the Group's AI risk framework, translate policy into practical controls, engage business and tech teams, monitor AI use cases, guide resolution of control gaps, and align frameworks with regulatory expectations and industry developments.

Support and coordinate GenAI training and advocacy across the bank, run workshops, clinics and hackathons, analyze and report on program metrics, develop learning content, collaborate cross-functionally, evangelize innovation, and coordinate internal festivals and campaigns to boost adoption and acumen.

Lead system and static data setups for new client and fund onboarding, manage conversion activities, validate NAV and shareholder data, standardize processes, liaise with stakeholders, and ensure ISAE/SOC compliance while guiding the client data team.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

Support Singapore laboratory operations by developing and maintaining digital tools (Power BI/Power Apps), performing data analysis to improve equipment calibration, maintenance, and inventory processes. Manage end-to-end inventory activities, procurement, receiving, storage, archival and disposal of samples/consumables. Ensure 5S, safety and cGMP compliance, coordinate vendor logistics and present findings to Quality leadership to drive quality and productivity improvements.