Top Data Jobs in Singapore

Analyze semiconductor manufacturing data to identify yield detractors, optimize processes, and reduce defects. Build data pipelines from SQL databases, sensor networks, and fabrication logs; apply statistical modeling, machine learning, SPC, DOE, and related analytics. Create automated dashboards and reports using Dash, Plotly, or Angular, and collaborate with manufacturing, equipment, process, and integration engineers to resolve production issues and drive continuous improvement.

Designs, builds, and operates secure AWS-native data pipelines and platforms for batch and event-driven workloads. Develops Airflow workflows using Python and SQL, implements tested data transformations, and integrates enterprise, security, and operational data sources. The role embeds data quality, lineage, observability, governance, encryption, access controls, and monitoring. It also contributes to CI/CD, infrastructure as code, documentation, code reviews, incident analysis, and cross-functional solutions supporting risk and regulatory needs.

Lead technology strategy for Microsoft education customers in Singapore. Advise senior executives, develop multi-year transformation roadmaps across AI, cloud, data, security, modern work, and business applications, and coordinate specialists, engineers, customer success teams, and partners. Drive responsible AI adoption, governance, technical wins, workload consumption, partner delivery, customer outcomes, and account growth while providing education-sector thought leadership.

Software Engineers are matched confidentially with Dragonfly portfolio companies hiring across crypto and blockchain. Roles may span backend, frontend, full-stack, mobile, infrastructure, data, security, machine learning, and DevOps. Candidates should have software engineering experience and an interest in crypto, blockchain, or open-source technologies. Startup or crypto-native project experience is preferred. Opportunities may be remote, hybrid, or in-person worldwide.

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.

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 technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.

Lead finance data governance for Accounts and related master data, including standards, policies, documentation, workflows, data quality controls, mappings, hierarchies, and golden records. Manage governance intake, stakeholder forums, workflow tool enhancements, testing, defect resolution, training, and process improvements. Support finance data projects and user queries while maintaining alignment with Kenvue’s Common Information Model.

Develops Microsoft 365 and Power Platform solutions, dashboards, reports, workflows, integrations, and data visualizations for legal investigations and litigation. Supports internal investigations through open-source research, forensic data review, information analysis, and government inquiry support. Partners with Legal, Compliance, Audit, Information Security, and Technology teams while ensuring privacy, cybersecurity, governance, and stakeholder requirements are met.

Supports product managers with app roadmaps and UAT testing while analyzing user behavior and product performance. Collects and cleans data, builds dashboards and visualizations, conducts A/B testing, and delivers reports and actionable recommendations. Collaborates with customer support, user research, and UX teams to identify pain points and optimize app features and user experiences.

Design and deliver production-ready AI and data science solutions across CRM, retail, marketing and operations. Build ML models, GenAI/RAG pipelines, feature engineering and training workflows; collaborate with data engineering to deploy, monitor and optimize models; run experiments and measure business impact while ensuring responsible AI, security and governance.

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Lead data science strategy for AML and financial crime risk controls. Develop AI-powered screening, entity resolution, graph and network intelligence, anomaly detection, transaction monitoring, and proactive discovery of emerging threats. Partner with Product, Engineering, Compliance, and Operations to deliver scalable production controls, influence the roadmap, establish reusable frameworks, and mentor data scientists.

Leads enterprise customer engagements delivering AI, machine learning, generative AI, NLP, RAG, and agentic AI solutions. Designs and deploys production systems across cloud platforms, establishes LLMOps practices, integrates solutions with client workflows, presents technical strategies, manages stakeholders, and mentors regional team members. Requires deep expertise in modern ML frameworks, large language models, data platforms, governance, and customer-facing technical delivery.

Own the roadmap, delivery, and adoption of marketing data products supporting audience management, campaign activation, measurement, and investment decisions. Translate marketing needs into product requirements, partner with engineering and analytics teams, lead validation and UAT, and drive product launches, data quality, user adoption, and continuous improvement across markets.

Leads DayOne’s global brand strategy, identity, creative direction, events, sponsorships, digital brand governance, and thought-leadership presence. The role ensures consistent brand execution across international markets, manages agencies and creative partners, oversees major brand assets and experiences, and tracks brand performance through defined KPIs. It requires strong cross-functional leadership and the ability to translate business strategy into differentiated brand expression for the digital infrastructure ecosystem.

Deliver data science consulting projects for marketing, customer, and product use cases in luxury, consumer goods, and retail. Responsibilities include data analysis, KPI design, experimentation, machine learning, generative AI, data engineering, visualization, stakeholder storytelling, and solution deployment. The role also supports transformation, training, thought leadership, R&D, and business development.

Lead data migration analysis projects involving data profiling, remediation, quality validation, test case execution, SIT and UAT support, and Power BI reporting. Coordinate project teams, validate data mappings and transformations, manage defects, document findings, and provide recommendations for KYC and CLM compliance. The role also includes project planning, stakeholder presentations, and support for business development initiatives.

Performs document retrieval, customer communication preparation, data entry, control checks, exception follow-up, record validation, reporting, and document routing. Maintains accurate filing, audit readiness, and compliance with procedures and service-level agreements. Coordinates with internal teams, law enforcement, legal firms, and vendors, while supporting user acceptance testing, template updates, and operational initiatives. Requires strong attention to detail, organization, communication, and the ability to manage high-volume routine tasks accurately.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Leads APAC data strategy and Greater China AI strategy initiatives across media campaigns. Develops audience segments from first-party and external data, drives adoption of data and AI tools, delivers localized training, advises campaign teams, tracks governance and adoption, and pilots market-specific AI solutions. Coordinates regional and global stakeholders while translating complex technical capabilities into practical workflows, playbooks, reporting, and measurable campaign improvements across China, Taiwan, and broader APAC markets.

Leads functional business analysis for enterprise compliance technology initiatives covering KYC, AML, sanctions, anti-bribery, and fraud workflows. The role defines business and technical requirements, target processes, roadmaps, testing strategies, scope changes, governance, and deployment plans. It manages senior stakeholders, risks, funding alignment, and post-go-live knowledge transfer while leading and developing a team of functional business analysts.

Leads ticketing fees and data initiatives within a transit authority, including monitoring ticketing costs, managing provider contracts, analyzing transit data, supporting new payment modes, implementing service improvements, and preparing agreements and approval papers. The role also develops ticketing policies, monitors service levels and fees, and manages internal and external stakeholders while leading a team.

Support AI prototypes, AI/BI solutions, AI agents, GenAI workflows, dataset preparation, model evaluation, dashboards, and reporting. Assist with testing, issue investigation, documentation, deployment, monitoring, security, compliance, and governance. Collaborate with technical teams and business users while learning new AI and BI tools during a six-month internship.

Supports AI and data governance by managing model access, auditing permissions and compliance processes, documenting governance activities, monitoring models, developing awareness training, tracking regulatory trends, and preparing governance reports. Collaborates with IT and business teams to ensure AI and data models follow security protocols, data protection laws, and internal policies.