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.

Design and implement smart manufacturing AI solutions for advanced factory scheduling, optimization, and simulation. Build analytics and applications, apply new algorithms, collaborate across global sites, drive benchmarking, and support continuous improvement of production metrics.

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.

Partner with clients to design and deliver end-to-end analytics and data science solutions. Manage project workstreams, synthesize quantitative and qualitative analyses into recommendations, lead client presentations, mentor junior consultants, and contribute to solution development and intellectual capital.

The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

Lead design and delivery of enterprise-grade factory scheduling, optimization, and simulation solutions. Architect global scheduling systems integrating optimization, discrete-event simulation, and reinforcement learning. Provide data analytics, drive cross-site alignment, benchmark solutions, influence senior leaders, and deploy production systems that improve manufacturing metrics.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

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

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

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.

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

The SR Data Scientist will analyze data in semiconductor manufacturing, optimize yields, develop data pipelines, support experiments, and communicate findings using visualization tools.

The Data Scientist will optimize semiconductor processes, analyze data, develop visualization tools, and support production through advanced analytics and modeling.

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

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.

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

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.

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

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