Top Data Jobs in Singapore

The Development Advisory Lead provides senior advisory input on feasibility, asset surveys, and due diligence for data centers, promoting quality standards and business growth.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

The Data Analyst will assist in developing data pipelines, performing data validation, and supporting data engineering solutions under senior engineers' guidance, focusing on batch processing and analytics-ready datasets.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

The Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

The role involves leading SAP ABAP development, delivering solutions using SAP BTP and CPI, mentoring juniors, and troubleshooting technical issues.

The SAP BTP/CPI Lead oversees SAP cloud-native application design, CPI project management, and integration architecture, ensuring solutions align with business objectives and security standards.

The Data Scientist will analyze large datasets, develop algorithms, and provide actionable insights using statistical and mathematical techniques, collaborating with various teams.

As a Data Scientist at Micron, you will build digital twins for semiconductor fabs using machine learning and analytics to enhance processes, predict performance, and optimize workflows, collaborating with engineers and teams to integrate data-driven solutions.

As a Senior Data Scientist, you will develop digital twin solutions and predictive analytics to enhance semiconductor manufacturing processes using AI and machine learning.

As a Senior Data Scientist, you'll develop models and insights from big data, collaborate with teams to solve operational issues, and enhance products using data analytics and simulations.

Responsible for leading the development and maintenance of a data analytics platform, prioritizing product backlog, ensuring data quality and compliance, and collaborating with cross-functional teams for feature deployment.

Lead the design and management of data and analytics solutions in banking, focusing on architecture, team leadership, and regulatory compliance. Develop AI/ML applications and ensure scalable platforms for enterprise use.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

The role involves developing and implementing data protection strategies, compliance with data privacy laws, conducting impact assessments, and managing data governance initiatives.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

The Senior Client Manager will leverage advanced experience to develop complex operational initiatives, manage business targets, and interact persuasively with key stakeholders, fostering innovative solutions and client success.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

Lead Data Scientist to manage complex analytical projects, design and implement machine learning models, mentor junior team members, and collaborate with stakeholders to drive data-driven solutions.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

The Data Compliance Manager designs global product solutions for data compliance, analyzes regulations, manages product lifecycles, and promotes compliance products.

The Senior Data Analyst will build Power BI dashboards, design data models, perform data analysis, and collaborate with stakeholders to gather insights.

The Data Management Specialist will develop data governance tools, collaborate on metadata standards, and implement solutions for data quality and integrity.

As a Data Scientist, AVP, you will leverage data to develop AI solutions, collaborate with stakeholders, and deploy models, improving business outcomes.