Top Data Jobs in Singapore

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

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

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.

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.

As Product Manager, you will own the vision and roadmap for Mastercard's Responsible AI and Privacy Enhancing Technologies Toolkit, ensuring product features align with governance, privacy, and regulatory expectations, while driving adoption and product outcomes.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

Lead global initiatives to improve facilities cost data visibility, metrics alignment, reporting, and process enablement. Drive data governance, reporting development, and sustainable reporting operations across Global Facilities to improve decision-making and business insight.

Six-month full-time undergraduate internship supporting APAC FreeWheel initiatives: build and maintain dashboards, deliver data-driven insights, support revenue tracking, collaborate with account managers and cross-functional teams for strategic planning and client business reviews.

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.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

Lead and grow a Data Engineering team to design and deliver reliable batch and near-real-time pipelines, data models, and analytics-ready datasets. Define technical direction for data modeling, pipeline architecture, observability, and governance; improve standards across SQL, dbt, Spark, Airflow, and Databricks; partner with stakeholders to translate business needs into scalable, production-ready data solutions.

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.

Lead large-scale payment data analyses to identify optimization opportunities and support A/B testing. Build scalable ETL pipelines, automation, and self-service analytics tools. Partner with product, data, and commercial teams to deliver actionable insights, mentor peers, and communicate results to technical and non-technical stakeholders.

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

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.

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