Top Data Jobs in Singapore

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

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.

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

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

As an Enterprise Architect, you will guide major clients in digital transformation and technology roadmap alignment using Salesforce solutions, building relationships and delivering enterprise-level insights.

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.

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 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.

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

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.

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.

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.

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.