Top Data Science Jobs in Singapore

Own smart manufacturing product solutions from problem definition through deployment, adoption, and value realization. Gather business requirements, define solution scope and KPIs, prioritize improvement opportunities, and lead cross-functional projects with data scientists, data engineers, suppliers, and manufacturing stakeholders. Use operational data, AI, machine learning, and automation to improve wafer output, productivity, decision-making, and capital efficiency.

Own the AI product vision, strategy, roadmap, and lifecycle across procurement and planning. Lead discovery, requirements, backlog prioritization, data-readiness assessments, and cross-functional delivery from proof of concept through production adoption. Partner with data scientists, data engineers, executives, procurement teams, and external stakeholders to develop AI, generative AI, and agentic solutions that improve cost efficiency, productivity, decision-making, and business-process automation.

Leads NAND product engineering and cross-functional development from silicon through SSD integration and customer qualification. Translates business requirements into qualification specifications, develops AI-enabled workflows for data analysis and program management, coordinates engineering, fabrication, testing, quality, supply chain, and design teams, and guides resolution of NAND-system issues. Organizes capability reviews, leads product development meetings, and supports on-time delivery of next-generation NAND products.

Leads smart manufacturing data science initiatives for the F10 organization, serving as the bridge between site leadership, users, and enterprise teams. Responsibilities include prioritizing requirements, driving solution adoption, balancing local support with network best-practice deployment, evaluating capabilities, coordinating cross-functional projects, monitoring deliverables, and managing competing resources and priorities.

The Staff Engineer leads the development and optimization of dry etch processes for NAND, enhancing capability and integrating solutions while mentoring junior engineers.

Lead AI-enabled cost transformation across procurement and manufacturing. Own product backlog and roadmap, define requirements with data scientists and engineers, prioritize AI/Generative AI cost use cases, drive delivery, measure before/after savings, and embed workflow optimizations into daily operations.

Serve as Product Owner for smart manufacturing AI initiatives to identify cost opportunities. Collaborate with data scientists, data engineers, and stakeholders to design, prioritize, implement, and measure AI/ML solutions that capture financial and operational value across procurement and front-end fabrication processes.

Lead a team to develop data-driven solutions that optimize planning and operations in the semiconductor industry using advanced analytics.

Designs liquidity and account solutions for corporate and payments-enabled clients, advising during sales engagements and RFPs. Structures automated funding, pooling, virtual accounts, multi-currency, and settlement solutions while addressing regulatory, tax, and accounting considerations. Partners with bankers, treasury sales, product, and regional stakeholders to expand wallet share, influence product roadmaps, support innovation, and manage APAC market requirements. Leads client presentations, thought leadership, enablement programs, and cross-functional initiatives while maintaining strong risk and control practices.

Lead AI-enabled cost transformation across procurement and manufacturing, build and operationalize a portfolio of AI/Generative AI use cases (spend, supplier, contract analytics), implement measurable savings and productivity improvements, embed solutions into workflows, manage cross-functional stakeholders, and scale data science and automation initiatives for value capture.

Lead definition, development, and delivery of Industry 4.0 smart manufacturing products. Own product roadmap, gather and prioritize requirements, coordinate engineering, data science, and operations, deploy data-driven solutions, ensure data quality, build UI visualizations, and scale standardized tools and processes across global sites.

The Senior Product Owner will lead smart manufacturing solutions and apply AI and machine learning in Micron's processes, requiring semiconductor experience.

Lead global OCT Photo teams and strategy for scanner and track hardware, process optimization, cost reduction, and yield improvement. Build Photo manufacturing roadmaps, manage supplier relationships, drive cross-functional projects and global expansions, oversee EUV/DUV and metrology efforts, implement equipment/material strategies, and develop workforce and future Photo engineering leaders. Integrate AI and data science for process innovation.

Lead and execute group-wide regulatory and compliance strategy projects, including market expansion, licensing roadmaps, operating model redesigns, and AI-driven compliance automation. Partner with Product, Engineering, Risk, and regional teams to deliver strategic initiatives, prepare executive-level presentations and business cases, and define performance metrics to measure ROI and operational efficiency.

Leads IT business analysis for financial crime compliance and anti-fraud systems, including FCC/KYC name screening, CDD risk scoring, and transaction screening. Gathers requirements, develops functional specifications, designs solutions, estimates costs, manages backlogs, facilitates stakeholder workshops, supports testing and go-live, and monitors solution performance. Collaborates with technology, fraud operations, compliance, engineering, architecture, infrastructure, and security teams using SDLC and Agile methodologies.

The Senior/Staff Engineer will develop and optimize dry etch processes for NAND technology, collaborate with teams, conduct analysis, and maintain pilot manufacturing lines.

Lead global analytics and data science teams supporting semiconductor manufacturing. Drive yield and process optimization through SQL, sensor, and fabrication-tool data; apply statistical modeling and machine learning to reduce defects; support DOE experiments; build automated dashboards; and manage cross-functional delivery portfolios. Mentor technical talent, improve data quality and platform performance, standardize modern data stacks, and partner with engineering and business leaders on prioritization, risks, and dependencies.

Lead wet-process and chemistry pathfinding for next-generation NAND: develop advanced wet etch, clean, and surface modification solutions, apply AI/ML and analytics, partner with suppliers and research collaborators, integrate across process teams, and mentor engineers.

Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.

The role involves collaborating with cross-functional teams to develop NAND products, integrating AI solutions, and ensuring timely delivery of technology with strategic partners in various departments.

Own net-new enterprise logo acquisition in Singapore: build territory strategy, run discovery calls and demos, create pipeline, engage business and IT stakeholders, close deals to meet quotas, and collaborate with partners and cross-functional teams to accelerate complex, high-value Snowflake AI and data opportunities.

The Visiting Professor will participate in teaching and research, supervise graduate students, and mentor junior faculty at NTU's College of Computing and Data Science.

Intern will evaluate and improve model governance and management practices for predictive maintenance models. They will collaborate with data scientists and equipment experts to pilot an end-to-end ML management framework, document best practices, analyze data, interpret experimental results, and present actionable recommendations supporting operational efficiency and lean manufacturing.

Two-year Talent Accelerator for Senior-level scientists to integrate biology, data, and AI in translational drug discovery. Work in multidisciplinary teams to develop translational models, spatial omics and imaging assays, AI/ML pipelines, and multimodal data integration to identify biomarkers, inform target decisions, and communicate findings to stakeholders.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.