Top Data Jobs in Singapore

As a Product Manager for the Data Platform, you will collaborate with teams to define requirements, track metrics, improve data quality, and manage the product roadmap.

The Customer Success Manager will onboard customers, drive success, manage operations, and act as a liaison with engineering and support teams.

Responsible for the vision and roadmap of on-chain data products, analyzing user needs, and collaborating across teams to improve product offerings.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

Lead management and technical planning of OKX's Web3 Data Platform, overseeing data processing, governance, and solutions for business growth.

As a Software Technology Sales Specialist, you will drive software sales, identify opportunities, and collaborate with client managers to optimize sales strategies and solutions.

As a Senior Cloud Services Architect, you will design complex cloud solutions, collaborate with clients, manage service development, and lead workshops while mentoring peers.

The Enterprise Applications Consultant will drive technical excellence and innovation, solve diverse problems, and enhance relationships with stakeholders while independently achieving targets.

As a Data Scientist, you will implement data engineering, develop and test models, automate processes, and interact with clients to deliver AI solutions.

As a Sr Data Scientist at Micron, you will design smart manufacturing and AI solutions in scheduling and simulation, providing data analytics for decision-making.

Collaborate with clients to design and implement data architectures, ensuring data quality and governance while providing technical leadership to data engineering teams.

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

As a Data Researcher intern, you will assist in delivering content, conducting research, testing data accuracy, and compiling reports related to companies and financial markets.

The intern will support data management and market analytics in the chemical industry, contributing to forecasts and process improvements while collaborating with a global team.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Lead the lifecycle of data products from discovery to delivery, collaborating cross-functionally to enhance AI-driven tools and analytics.