Top Data Jobs in Singapore

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.

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.

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.

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

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.

Develop and maintain data pipelines and ETL processes, optimize data structures, and enhance data solutions using AI in a Cloud environment.

Develop and deploy product-disposition solutions using data analysis, machine learning, and AI to improve yields and reliability. Mentor team members and collaborate across functions to drive innovation and enhance product quality.

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

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.

This role focuses on improving productivity in labor operations through program management, data analysis, and implementing AI and automation solutions.

Drive labor productivity through program management, data analysis, automation, and AI methodologies to enhance operational efficiency and reduce labor hours.

The Senior Analyst will conduct economic analysis, develop econometric models, monitor macroeconomic trends, and provide insights using data science techniques.

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 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.

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

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.

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.

As a Data Scientist, you will analyze large datasets, develop predictive models, coordinate deployment activities, and utilize advanced machine learning techniques while collaborating with teams.

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

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