Top Data Jobs in Singapore

Lead design, build, and operate distributed, large-scale (batch/streaming) data platforms and pipelines. Drive technical decisions, performance optimization, data architecture (lakehouse), tooling standards, third-party integration, and mentor junior engineers to enable company-wide data-driven capabilities.

The Managing Principal will lead data projects, define client data strategies, conduct capability assessments, and influence data-driven culture in financial services.

As a Data Scientist at Micron, you'll develop AI-driven solutions in semiconductor manufacturing, build predictive models, and communicate analytical insights to stakeholders.

The Senior Data Scientist will develop predictive models, implement machine learning solutions, optimize production processes, and mentor junior staff to enhance data-driven decision-making in semiconductor manufacturing.

The Senior Data Scientist will improve semiconductor quality through predictive models and AI solutions, mentor juniors, and communicate insights effectively.

The intern will apply data science, statistics, and machine learning in semiconductor process development, focusing on data analysis and predictive modeling to enhance process accuracy.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

The Senior Data Scientist will develop digital twin solutions for semiconductor fabs, utilizing machine learning, predictive analytics, and simulation tools to optimize operations and enhance decision-making processes.

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

The Engineering Director will lead software engineering teams, set technical direction, ensure product quality, and foster innovation and collaboration.

The Staff Data Scientist will optimize semiconductor manufacturing processes through data analysis, statistical modeling, and data visualization, collaborating closely with engineering teams.

The role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

The Enterprise BD Manager will expand and maintain key enterprise accounts, driving growth through strategic relationships and complex solution structures in maritime risk and sustainability.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

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.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.