Top Data Jobs in Singapore

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

The Senior Data Scientist will analyze risk, develop financial crime detection solutions, and optimize risk strategies using advanced analytics and machine learning.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

The Staff Data Scientist will lead data science initiatives, mentor the team, drive strategy, and contribute to product developments through quantitative analysis and data insights.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

As a Senior Data Scientist, you will collaborate with regional executives and various teams to leverage data for insights, support forecasting with statistical methods, and develop data products to drive strategic growth.

As a Senior Data Scientist, you'll analyze business needs, implement ML solutions, and collaborate with teams to manage risk in international payments.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

Lead and develop scalable data infrastructure, enhance self-service capabilities, ensure software quality, and mentor engineers while collaborating across teams.

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.

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.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

The Senior Data Scientist will improve semiconductor quality through predictive models and AI solutions, mentor juniors, and communicate insights effectively.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

As a Senior Data Scientist, you'll define and execute roadmaps, partner with IT for system management, design scheduling logic, develop solutions in C#, Python, and SQL, and communicate strategic recommendations to leadership while tracking KPIs.

The Senior Data Scientist will develop predictive models, implement machine learning solutions, optimize production processes, and mentor junior staff to enhance data-driven decision-making in semiconductor manufacturing.

Lead analytics for regulatory reports, standardize data usage, build test frameworks, analyze data anomalies, and mentor colleagues in compliance domains.

As a Senior Data Scientist in Analytics (Risk & Compliance), you will lead analytics projects, ensure robust data foundations, and collaborate cross-functionally to improve regulatory compliance and risk oversight.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The Engineering Director will lead software engineering teams, set technical direction, ensure product quality, and foster innovation and collaboration.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.