Top Data Jobs in Singapore

The Partner Manager will identify, negotiate, and manage partnerships with fintech companies to enhance Mastercard's SME offerings globally, working cross-functionally to commercialize solutions through issuing banks.

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 Data Scientist will analyze big data, develop software solutions, identify insights, and enhance products/services through data-driven decisions.

The role involves developing digital twin solutions for semiconductor fabs using advanced analytics, machine learning, and simulation technologies while collaborating with cross-functional teams.

Develop and optimize digital twins and predictive analytics for fab processes, collaborating with cross-functional teams and integrating various data sources.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

Design and implement advanced scheduling, optimization, and simulation solutions in manufacturing to improve production metrics and drive innovation.

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.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

The role involves leading the development and deployment of Responsible AI tools, managing technical requirements, and architecting scalable AI solutions, while collaborating with various stakeholders to ensure compliance and operational readiness.

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

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

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.

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.

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.