Top Data Jobs in Singapore

Lead design and build of high-performance distributed data infrastructure and AI enablement platforms. Optimize systems internals and JVM performance, implement lakehouse and real-time streaming, develop scalable vector indexing and AI knowledge platform, own SDLC for petabyte-scale systems across global regions, drive engineering best practices, and mentor mid-level engineers.

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.

Lead a Singapore-based team to design, build, and maintain scalable data infrastructure and self-service developer tooling. Implement robust, maintainable systems, ensure quality through testing and troubleshooting, collaborate cross-functionally, and mentor engineers while staying current with emerging technologies.

Lead architecture and build of a global, high‑performance data and AI platform. Own design, performance tuning, and SDLC for distributed systems (streaming, storage, indexing) powering real‑time analytics, vector search, and AI-driven products. Mentor engineers and drive engineering rigor and shared tooling.

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.

Design, build, and productionize GenAI and ML solutions for semiconductor engineering: large-scale data pipelines, LLM/RAG and agentic workflows, model training/inference, analytics, deployment, monitoring, and cross-functional collaboration to improve quality, cost, and engineering productivity.

Lead strategic ISV partner growth across ASEAN by developing multi-year partner business plans, driving AI/cloud transformation, executing co-sell strategies, accelerating Marketplace adoption, aligning executive stakeholders, and ensuring disciplined operational execution to grow pipeline and revenue.

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

The Senior Data Scientist will build and manage the intelligence layer of the Railway Common Data Platform, implement machine learning solutions, and enhance operational efficiency through data analytics and AI capabilities.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Analyze operational, financial, maintenance, and resident feedback data to identify trends and service gaps. Develop and maintain dashboards and KPIs, automate reporting, improve data governance, and provide actionable insights to operations and management. Prepare presentations and support ad-hoc studies to inform strategic planning and enhance resident experience.

Analyze large-scale datasets to identify opportunities and optimize product performance; build dashboards and visualization tools; assist in developing scalable data pipelines to support operations and platform security; and collaborate with product, engineering, and legal teams to turn analyses into actionable business strategies.

Work on large-scale data: analyze datasets, build dashboards and scalable data pipelines, collaborate cross-functionally, and apply AI tools (LLMs, RAG, agents) to automate analysis and surface product insights. Complete a mentored, data-driven internship project and support operational and security analytics.

Work on data-driven projects to improve WeChat safety strategies: analyze large datasets, build dashboards and visualizations, develop scalable data pipelines to support operations and platform security, and collaborate with product, engineering, and legal teams to turn analytics into actionable strategies.

Lead development and deployment of Generative AI solutions for underwriting using OpenAI services. Collaborate with engineers and stakeholders to prepare large datasets, build advanced ML models, standardize best practices, and scale AI solutions globally while communicating results to technical and non-technical partners.

Lead NTT DATA's relationship and P&L for strategic Financial Services accounts. Develop and execute client account plans, drive cross-practice sales, grow revenue and margin, manage global partner relationships, reduce churn, and align stakeholders to a unified vision.

The Director of Enterprise Technology, APAC will manage all IT operations in the region, ensuring standardized services, scalability, and operational maturity while fostering partnerships with global teams.

Six-month full-time hybrid internship in Singapore supporting APAC data teams. Partner with stakeholders to define questions, clean and analyze data with SQL/Python/dbt, build Tableau dashboards and automated trackers, communicate insights to business leaders, and apply documentation, version control, peer review, and data quality checks.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

Lead global data engineering for wealth management: define roadmap, design scalable pipelines, oversee data lakes/warehouses, select technologies, optimize performance, enforce data governance, and manage a distributed engineering team to deliver high-quality financial data solutions.

Design, build, and maintain data models, ETL pipelines, dashboards, and APIs to support industry models, research, and consulting. Ensure data accuracy, completeness, and observability while integrating new datasets and cloud infrastructure. Collaborate with analysts and stakeholders to deliver robust, modular production data systems with minimal supervision.

Participate in design and development of AI-powered financial trading agents using Web3 data. Perform post-training (SFT, RLHF/RLAIF) of LLMs, build benchmark datasets, iterate workflow prototypes, and assist senior engineers with system design, integration, and deployment.

Support, design, and optimize LAN, WAN, data center, and cloud network infrastructure. Configure and manage routers, switches, firewalls, load balancers, and wireless systems. Troubleshoot network issues, analyze traffic, implement security controls (VPN, firewall rules, IDS/IPS), monitor performance, create documentation, and contribute to migrations, upgrades, and network projects alongside cross-functional teams.