Top Data Jobs in Singapore

Own and execute integrated demand generation, partner marketing, and field marketing across ASEAN. Manage MDF, agencies, budgets, events, campaign lifecycle, localisation, Salesforce tracking, and performance measurement while coaching the marketing team to drive pipeline and revenue.

Design, build, and maintain production ML models and AI products focused on personalization, recommendation, propensity scoring, and player decisioning. Collaborate with engineers, analysts, and stakeholders to deploy models on Databricks/Snowflake, support AI agent workflows, and deliver measurable player engagement outcomes.

Lead a high-performing analytics team to deliver business impact through data, insights, and AI. Partner with product, marketing, and technology to drive growth, improve customer engagement, and embed data-driven decision-making. Shape analytics priorities, strengthen data foundations, governance, automation, and translate complex analysis into executive-level recommendations.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

The Data Strategy & Analytics Manager drives digital growth through analytics in marketing, campaign performance, and customer journey optimization. They lead data initiatives to enhance acquisition effectiveness, support strategic decision-making, and optimize user experiences, overseeing collaboration across various teams.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The Document Controller coordinates document management across Design Engineering and Construction projects, ensuring accessibility, compliance, and effective communication among teams and stakeholders.

Build, operate, and harden a cloud-native data platform on Kubernetes using IaC and GitOps. Provision and run lakehouse, streaming, orchestration, and managed DB services; implement governance, self-service interfaces, SLIs/SLOs, runbooks, incident response, upgrades, and platform security to keep multi-tenant data infrastructure reliable and scalable.

Design and deploy ML and RL solutions for air traffic optimization including transformers and RL agents; build RAG and LLM evaluation pipelines; implement MLOps with Kubeflow/Airflow, Docker/Kubernetes, MLflow/W&B; monitor models, automate pipelines, and collaborate with engineering teams for production integration.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

Partner with Global Growth to design and ship experiments, optimize the self-serve onboarding funnel across stripe.com and dashboard, build ML and statistical models, run causal inference and experimentation, deploy models, and drive measurable product and business impact.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

Lead early-stage technical development for APAC data center projects: perform site feasibility and due diligence, develop conceptual engineering and layouts, assess power and utility options, estimate CAPEX and schedules, manage stakeholder and authority engagement, identify risks and mitigations, and support transition to design and construction teams while aligning technical solutions with commercial strategy.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.

The Data Science Intern analyzes large datasets, uses machine learning and analytics to solve gaming challenges, and collaborates with teams to drive business strategies.

The Senior Data Compliance Analyst is responsible for designing product frameworks for data compliance, monitoring regulations, translating legal requirements into product specifications, and ensuring the upkeep and optimization of compliance products while liaising with cross-functional teams.

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

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

Lead design and delivery of site-level data architectures, pipelines and analytics to enable real-time decision-making and AI-enabled solutions across manufacturing, quality, engineering and supply chain in a regulated (GMP) environment. Drive digital roadmap execution, governance, adoption, and continuous improvement with cross-functional stakeholders.

Lead design and delivery of site-level data architectures, pipelines and analytics to enable real-time decision making, digital twins and AI use cases across manufacturing, quality, engineering and supply chain in a GMP-regulated environment. Drive roadmap delivery, governance, user adoption, and continuous improvement while coordinating cross-functional projects and ensuring data governance, compliance and measurable operational outcomes.