403 Data Modeling jobs in Singapore
Data Modeling Specialist - Tribologist
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Role Overview:
We are seeking a highly skilled tribologist with expertise in data modeling and machine learning to join our team. As a data modeling specialist, you will apply advanced data science techniques to model and simulate the behavior of lubricants and related materials.
Key Responsibilities:
- Develop and deploy predictive models using Azure Machine Learning to support product development and process optimization.
- Collaborate with cross-functional teams to uncover insights from experimental, simulation, and operational datasets.
- Translate domain knowledge into interpretable machine learning features and modeling strategies.
- Perform exploratory data analysis (EDA) to identify trends, anomalies, and correlations in large-scale, multi-source datasets.
- Build and maintain pipelines for continuous learning and performance monitoring in production environments.
- Contribute to the development of scientific publications and internal knowledge bases.
- Ensure data governance, quality, and reproducibility of scientific modeling efforts.
Required Qualifications:
- MSc or PhD in Tribology, Chemical Engineering, Materials Science, Mechanical Engineering, or a related field with strong data science exposure.
- Solid understanding of lubricants, dispersants, and their chemical/physical mechanisms.
- 3+ years of experience in data science, machine learning, or computational modeling roles.
- Proficiency in Python and key data science libraries (e.g., scikit-learn, pandas, NumPy, matplotlib).
- Hands-on experience with Azure Machine Learning (AML) – model training, deployment, versioning, and monitoring.
- Familiarity with statistical modeling, optimization, and time-series or multivariate analysis.
Preferred Qualifications:
- Experience working with sensor data, lab data, or simulation data in a tribological or chemical context.
- Knowledge of physics-informed machine learning, hybrid modeling, or surrogate modeling techniques.
- Familiarity with tools like MLflow, Databricks, Azure Data Factory, or Power BI.
- Strong communication skills, especially in conveying complex technical insights to non-technical stakeholders.
Desired Skills:
- Materials Science
- Factory
- Pandas
- Statistical Modeling
- Modeling
- Pipelines
- Azure Machine Learning
- Tribology
- Data Quality
- Data Governance
- Process Optimization
- Publications
- Power BI
- Chemical Engineering
- Matplotlib
- Mechanical Engineering
We offer a dynamic work environment that fosters innovation, collaboration, and professional growth. If you are passionate about applying data science to solve real-world problems, we encourage you to apply for this exciting opportunity.
Advanced Data Modeling Professional
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Key Responsibilities include:
- Create data models to meet various business needs by combining data from multiple sources, providing a comprehensive view of the data landscape.
- Clean, transform, and analyze large data sets to extract valuable insights and identify trends, patterns, and correlations.
- Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI, clearly communicating findings and recommendations to stakeholders.
- Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
- Write and optimize code to automate data collection, processing, and analysis tasks, ensuring efficiency, accuracy, and scalability.
- Collaborate closely with other departments to understand their data needs, provide analytical support, and develop customized data solutions.
- Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.
Requirements:
- Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
- Experience with Python and R for data analysis, statistical modeling, and automation tasks.
- Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
- Strong understanding of statistical concepts and ability to apply them effectively in real-world scenarios.
- Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
- Bachelor's degree or higher in IT-related, Statistical, or Mathematical fields.
Data Management Specialist
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- Support Wave 2 (APAC) project from a data conversion perspective.
- Responsible for helping the regions extract and transform their legacy data into Workday EIBs- as well as reviewing data for general conformity and alignment to Workday configuration.
- Play a role in data validation as well
Manager, Data Management
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As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society. For more information on Singapore University of Social Sciences, please visit
About The JobThe Manager, Data Management, is responsible for ensuring the quality, integrity, and consistency of metadata across the university's data warehouse and other operational systems. This role involves collaborating with various stakeholders to establish and implement metadata standards, support data governance initiatives and provide training to end-users. Additionally, the Manager will assist in managing data protection and ensuring compliance with the Personal Data Protection Act (PDPA). The Manager will also serve as a primary point of contact for external data inquiries and requests as well as, coordinating with government agencies.
What You Will be DoingKey Responsibilities
- Metadata Management: Maintain and update metadata across all data systems to ensure consistency, integrity, and quality.
- Standard Implementation: Work with departments to define and enforce metadata standards and best practices.
- Data Governance Support: Contribute to data governance initiatives, supporting the development and enforcement of policies and procedures.
- Data Protection and PDPA Compliance: Assist in managing data protection practices to comply with PDPA regulations, ensuring sensitive data is handled securely and responsibly.
- Stakeholder Collaboration: Serve as the primary contact for external data requests and inquiries, managing relationships with regulatory entities.
- Training and Support: Provide guidance and training to end-users on data management practices, promoting adherence to governance standards.
- Data Quality Assurance: Oversee data quality monitoring processes, identifying and resolving data integrity issues across the university's data systems.
- Bachelor's degree in Information Management, Data Science, Business, or a related field.
- Minimum 2 years of experience in data management, metadata management, or related fields.
- Strong understanding of data governance, metadata standards, and quality assurance principles.
- Proficiency in data governance tools, metadata management solutions, and data quality software.
- Excellent communication skills for stakeholder management and cross-functional collaboration.
At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career
Besides that, you will also get:
- Competitive Pay Package
- Hybrid Work Arrangement (Subject to Job Role)
- Medical Benefits
- Flex Benefits
- Family Care Leaves
- Volunteer Service Leaves
- Wellness & Recreation Activities
- Lifelong Learning Opportunities
- Career Development Opportunities through Internal Job Postings and Transfers
Data Management Coordinator
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Are you a detail-oriented individual with excellent organizational skills?
Job Responsibilities:- We are seeking a skilled professional to perform data entry tasks, ensuring accuracy and timeliness.
- This role involves managing daily accounts payable and accounts receivable processes, including processing invoices and payments.
- As a Data Management Coordinator, you will handle various ad-hoc duties assigned within the job scope, demonstrating your flexibility and adaptability.
- A minimum of one year of relevant working experience in data management or a related field is required.
- You should be proficient in Microsoft Office (Word, Excel, PowerPoint) and MYOB software.
- The ideal candidate can work independently with minimal supervision, possessing strong self-motivation and discipline.
Data Management Specialist
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Data Management Specialist
Description
We are looking for an experienced professional to guide a complex product through various stages of development, from concept to launch. As a Data Management Specialist, you will be responsible for facilitating cross-functional collaboration and driving project execution.
In this role, you will work closely with the Product Development Team (PDT) to develop detailed project schedules and drive tactical execution. You will provide leadership and direction by defining priorities, identifying issues, and allocating resources to meet deadlines and deliverables.
Key Responsibilities include:
- Integrate all aspects of product development within extended teams and partner organizations.
- Partner with Technology Development, Design, Process, APTD, PE, and Manufacturing teams to drive development progress and alignment.
- Collaborate with PMO organization to build and maintain detailed project schedules and drive relevant tactical execution.
- Provide regular communication of project status, priorities, and challenges across the broader organization.
- Set and prioritize tactical expectations across development activities according to defined milestones and stakeholder needs.
Required Skills and Qualifications
To succeed in this role, you will need:
- Bachelor's or Master's degree in Electrical or Computer Engineering or manufacturing/supply chain related fields.
- 5+ years of relevant technical, manufacturing, or experience driving cross-functional teams.
- Excellent Communication/Presentation skills.
- Familiarity with data analysis methods and data visualization; communicating data-backed conclusions.
- Capability with JIRA, Confluence, Project Management software tools.
Benefits
This role offers a unique opportunity to contribute to the development of innovative memory and storage solutions that accelerate the transformation of information into intelligence. You will have the chance to work with a talented team of engineers and collaborate with partner organizations to drive project success.
Data Management Specialist
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We are seeking a highly skilled Database Systems Expert to join our team. The ideal candidate will have experience in database administration, including database design, implementation, and maintenance.
Key Responsibilities- Provision databases with required licenses and ensure data security and recovery control.
- Monitor health, performance, user access and security, and manage parameters for database optimization.
- Implement configuration management for business continuity plans and automate disaster recovery measures.
- Degree or Diploma in Computer Science, Computer or Electronics Engineering, Information Technology or related disciplines.
- Passion for automation, standardization and best practices.
- Relevant IT experience in databases administrations such as MySQL, Postgres, MongoDB.
- Practical experience troubleshooting database and server performance problems.
- Hands on experience on database administration including System DBA tasks, SQL Programming, Database performance tuning and scalability, High Availability technologies and Disaster Recovery.
- Cloud technologies such as AWS RDS.
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Data Management Professional
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We are seeking a skilled and detail-oriented Biomedical Data Specialist to join our team. As a key member of our organization, you will play a crucial role in accurately entering data and maintaining records in Excel.
Your responsibilities will include:
- Performing accurate data entry and maintaining records in Excel.
- Retrieving, filing, and transferring blocks and slides, involving some physical handling.
- Operating digital slide scanner for slide scanning and imaging.
To be successful in this role, you will require:
- Min Diploma in Biomedical Science or equivalent.
- No prior experience is necessary as comprehensive training will be provided.
This position requires individuals with strong analytical skills, attention to detail, and the ability to work independently.
The ideal candidate will have excellent communication skills, be able to work effectively in a team environment, and possess a high level of professionalism.
In addition to your technical skills, we are looking for someone who is proactive, organized, and able to prioritize tasks effectively.
If you are a motivated and detail-oriented individual with a passion for Biomedical Science, we encourage you to apply for this exciting opportunity.
Data Management Specialist
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This role is responsible for collaborating with the People and Places department to develop, implement, and maintain information systems within the HR function.
Data Management Specialist
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The document management lifecycle is a crucial aspect of any organization's operations. As a Document Management professional, you will play a vital role in ensuring the integrity and accuracy of our physical and digital records.
Key responsibilities include:
- Physical File Management: Conducting stocktakes and handling files within office environments and storerooms.
- Data Entry & Processing: Accurately entering data from hard copy documents into digital systems, using Microsoft Excel, Word, and PDF.
- Vendor Coordination: Coordinating with our digitisation vendor to ensure smooth operations for document digitisation.
- Quality Assurance: Performing quality checks on scanned images to maintain high standards of digital records.
To succeed in this role, you should possess:
- A Diploma or Degree in any discipline.
- Meticulous attention to detail and a systematic approach to work.
- A strong sense of responsibility and commitment to tasks.
- Hands-on, proactive, and able to work independently and as part of a team.
- Proficiency in Microsoft Office applications (especially Excel and Word).
This is a temporary role with set working hours and a standard office environment.