145 Data Science Management jobs in Singapore

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

A senior-level professional is sought to oversee data analysis and drive business growth through strategic decision-making.

The ideal candidate will collaborate with high-level executives to develop and implement data-driven solutions, leveraging quantitative techniques to optimize performance.

Key responsibilities include:

• Designing and implementing data architectures to support business objectives.
• Developing and maintaining complex models using machine learning algorithms.
• Analyzing large datasets to identify trends and insights.

Successful candidates will have a Master's degree in a quantitative field such as Mathematics, Statistics, or Economics, and at least 3 years of experience in financial data analysis roles. Proficiency in programming languages such as Python, C++, Java, and R is required, along with experience with machine learning tools like TensorFlow and PyTorch.

In addition to technical skills, strong communication and collaboration skills are essential for success in this role.

Job Role: Data Analysis Professional

As a Data Analysis Professional, you will be responsible for collecting and reviewing data to inform business decisions. You will utilize various data analysis tools such as Excel, ACL, and Tableau to perform audits and provide actionable insights.

• Data Collection and Review


• Audit Planning and Execution


• Analysis of Audit Findings


• Identification of Issues and Suggestions for Process Improvements


• Support in Finalizing Audit Reports and Gathering Management Responses

• Background in Accounting or Business Studies


• Proficiency in Microsoft Excel

Why This Role?

This is an excellent opportunity for those interested in data analysis and audit work. You will have the chance to develop your skills in data collection, review, and analysis, as well as contribute to improving processes within the organization.

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO :

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82@yahoo.com

Our organization seeks a skilled Data Analyst to support data-driven decision making by assisting in data analysis, reporting, and dashboard development.

• Analyze healthcare data using various analytics tools and methodologies.
• Support the development and maintenance of regular reports and dashboards.
• Assist in data collection, validation, and documentation processes.
• Contribute to analytics projects and help prepare presentation materials.
• Collaborate with team members while maintaining high standards of data governance.
• Support the implementation of automated reporting processes.

• Bachelor's degree in Data Science, Analytics, Statistics, or related field.
• At least 1 year of relevant working experience in data analysis.
• Basic knowledge of statistical analysis and data visualization tools (R, Python, SQL, Tableau).
• Strong analytics and problem-solving skills.
• Good attention to detail.
• Basic understanding of data protection principles.
• Excellent team player with good communication skills.
• Positive attitude and willingness to learn.

As a valued member of our team, you will have opportunities for professional growth and development. Our organization is committed to providing a supportive work environment that fosters collaboration and innovation.

We offer a competitive salary and benefits package, including health insurance, retirement plan, and paid time off. Additionally, we provide ongoing training and education opportunities to help you stay up-to-date with the latest industry trends and technologies.

The Laboratory of Surgical System & Service Innovation (3SI) is a multi-disciplinary laboratory that provides a platform for cutting-edge surgical health services research that informs healthcare systems, policies, and programs to provide high-value, patient centered care for patients and their families undergoing surgery.

We are looking for an enthusiastic, dynamic, meticulous, and responsible Senior / Research Officer to work closely with a team of experienced researchers and the clinical team in health system, services innovation, and novel surgical technologies research. You will be part of a holistic clinical and health services research team whose mission is to improve clinical outcomes for seriously ill patients in surgery.

Among others, your role will focus on supporting the development and maintenance of surgical registries and databases as well as the design, execution, and publication of high-impact surgical health services research. Research include those related to real-world surgical outcomes, patient-centred care, health equity, and cost-effectiveness.

Key Responsibilities

1. Database/Registry Development & Maintenance

• Design and create a data pipeline that meets the pre-specified needs and requirements of projects and maintains its proper function

2. Data Collection, Management, Analysis, Managing data quality

• Gathering data from various sources and organizing it for analysis
• Performing statistical and data analysis techniques to generate insights from the data
• Data quality control – Ensuring accuracy and completeness of data through data validation and cleaning
• Apply data science/machine learning methods to analyse large datasets

3. Performing exploratory data analysis

• Performing descriptive analysis to facilitate initial data investigation
• Summarising and presenting exploratory data analysis results to stakeholders

4. Designing and conducting Artificial Intelligence (AI) related projects

• Developing/Building a technical AI development plan based on the research question (include machine learning, natural language processing, generative AI, deep learning models)

5. Presentations & Data Visualization

• Analysis Report Generation: Producing reports and presentations to communicate findings and recommendations
• Data Visualization: Creating visual representations of data to effectively communicate insights
• Preparation of presentation slides and posters for submission to local and international conferences

Key Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, and Information Systems, Soft Engineering, biomedical science, statistics or any related computational disciplines or equivalent.
• Advanced proficiency in Python, R, Java code writing
• Hands-on experience with database design and development
• Extensive knowledge of machine learning frameworks, libraries, data structures, data modelling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Demonstrated technical expertise with data models, data mining, and segmentation techniques
• Familiarity with healthcare database management systems and processes as well as healthcare data governance policies and regulation will be an advantage.
• Familiarity of generative AI methodologies
• An analytical problem solver: Strong analytical and problem-solving skills, and ability to work with incomplete or imperfect data.
• Excellent written and verbal communication skills, ability to explain the work in plain language.
• An effective team player: to collaborate with members of inter-professional functions, effectively contribute and be adaptive within multidisciplinary teams
• Passion to contribute and develop a career in the healthcare analytics and health services research arena.

This position will start off as about 8 months contract.

Location:

Civil Service College, near to Buona Vista MRT

Responsibilities:

• To support the design of data collection channels
• To support data integration between data collection channels and dashboard
• To support the identification of opportunities for process automation and improvements

Working Hour:

Monday to Thursday: 8.30am to 6pm, Friday: 8.30am to 5.30pm

Salary:

$2650

Thank you

Toh Kim Leng (Glendon)

Cornerstone Global Partners

EA: 19C9859

Reg no: R