Top Data Jobs in Singapore

The Director of Knowledge Platform Engineering will lead the architecture and delivery of a data platform that supports analytics, AI, and decision-making across the company, ensuring strong governance and operationalized capabilities while partnering with various teams.

The Staff Data Scientist will partner with business teams to align metrics, leverage AI for efficiency, support forecasting, and mentor junior members.

Lead the Realtime Data Platform to define a 1-3 year roadmap, modernize data infrastructure for real-time analytics at petabyte scale, enable data-driven product features, scale and mentor engineering teams, and act as a trusted advisor on Data and AI architecture, governance, and observability.

Design and evolve a governed data, knowledge, and skills platform for analytics and AI agents. Lead data modelling, regional data localisation, semantic layer and metric-store design, agent APIs, and Governance-as-Code to ensure quality, lineage, and compliance across global Databricks environments.

As a Staff Data Scientist, you'll partner with executives and teams to provide data insights, develop data products, and mentor junior members while using AI for efficiency.

As a Senior Data Scientist at Micron, you will develop computer vision systems and deep learning models while analyzing large-scale datasets and collaborating cross-functionally.

The Business Development Executive will build relationships with healthcare stakeholders, identify growth opportunities, support proposals, and engage in market expansion while tracking trends in the Singapore healthcare ecosystem.

Lead enterprise data architecture and analytics initiatives, developing complex PowerBI dashboards and automation solutions to support decision-making.

The Account Executive engages with customers to sell Salesforce solutions, focusing on building relationships and developing strategies to meet customer needs.

The role involves designing data architecture, building ETL/ELT workflows, ensuring data quality, providing technical leadership, and collaborating with cross-functional teams to create scalable data systems for AI projects.

The role involves managing and developing a firmware team, leading Data Center SSD firmware components, ensuring quality delivery, fostering team growth, and improving engineering processes while promoting collaboration and Micron values.

Design and implement scalable data models, manage ETL pipelines, contribute to data governance, and understand AI integration for data engineering.

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

The Product Engineer will develop algorithms, enhance yield and quality using machine learning and AI, lead cross-functional initiatives, and mentor team members.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

The IT Engineer (Data Services) is responsible for managing and optimizing database systems, ensuring data availability, performance, and compliance, while also developing automated solutions and collaborating with site customers.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

As a Senior Data Scientist, you will develop data science solutions for semiconductor manufacturing, enhancing processes through statistical modeling, machine learning, and collaboration with diverse teams.

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.

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

Design and develop AI manufacturing solutions, high-quality analytics applications, and collaborate globally to improve production metrics in smart manufacturing environments.

Lead the development of digital twin models and AI-driven solutions to enhance semiconductor fab operations, utilizing simulation and machine learning techniques.

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.

The internship focuses on applying data science and machine learning to analyze large datasets in semiconductor manufacturing, with responsibilities including data extraction, model building, and collaboration with teams.