Total 17 Full-time Others/Any Scientist job vacancies in Malaysia

Requirements

• A Bachelor’s Degree in Biomedical Science, a Diploma in Medical Laboratory Technology, or an equivalent qualification in a relevant field.
• A minimum of 2 years of professional experience in a multi-disciplinary clinical laboratory, with proven expertise in Haematology, Biochemistry, Microbiology, Chemical Pathology, and other related disciplines.
• Willingness and ability to work on rotating shifts, including weekends, public holidays, and on-call duties as required.

Responsibilities

• Perform laboratory tests in strict accordance with established procedures and standards as outlined by the Laboratory Accreditation requirements.
• Analyze technical issues related to specimen adequacy, laboratory data, and instrumentation; identify root causes and resolve problems in compliance with relevant guidelines and procedures.
• Review and monitor laboratory processes to ensure high-quality results, and implement appropriate Corrective and Preventive Actions (CAPA) as necessary.
• Ensure all laboratory instruments are maintained in optimal working condition by monitoring adherence to the Planned Preventive Maintenance (PPM) schedule.

• Compensation & Career Growth
• Competitive salary and comprehensive benefits package
• Yearly performance bonus and salary increment based on appraisal
• Opportunities for career advancement and professional growth

Requirements

• A Bachelor’s Degree in Biomedical Science or an equivalent qualification in a relevant field.
• A minimum of 2 years of professional experience in a multi-disciplinary clinical laboratory, with proven expertise in Haematology, Biochemistry, Microbiology, Chemical Pathology, and other related disciplines.
• Willingness and ability to work on rotating shifts, including weekends, public holidays, and on-call duties as required.

Responsibilities

• Perform laboratory tests in strict accordance with established procedures and standards as outlined by the Laboratory Accreditation requirements.
• Analyze technical issues related to specimen adequacy, laboratory data, and instrumentation; identify root causes and resolve problems in compliance with relevant guidelines and procedures.
• Review and monitor laboratory processes to ensure high-quality results, and implement appropriate Corrective and Preventive Actions (CAPA) as necessary.
• Ensure all laboratory instruments are maintained in optimal working condition by monitoring adherence to the Planned Preventive Maintenance (PPM) schedule.

Employee Benefits & Perks

•  Compensation & Career Growth
• Competitive salary and comprehensive benefits package
• Yearly performance bonus and salary increment based on appraisal
• Opportunities for career advancement and professional growth

要求

• 生物醫學科學學士學位、醫學檢驗技術文憑或相關領域的同等學歷。
• 至少 2 年多學科臨床實驗室專業經驗，在血液學、生物化學、微生物學、化學病理學及其他相關學科方面擁有紮實的專業知識。
• 願意並能夠輪班工作，包括週末、假日以及根據需要值班。

職責

• 嚴格按照實驗室認證要求中規定的既定程序和標準進行實驗室測試。
• 分析與樣本充足性、實驗室數據和儀器相關的技術問題；找出根本原因並依照相關指南和程序解決問題。
• 審查和監控實驗室流程，以確保高品質的結果，並根據需要實施適當的糾正和預防措施 (CAPA)。
• 透過監控計畫預防性維護 (PPM) 計畫的執行情況，確保所有實驗室儀器保持最佳工作狀態。

• 薪資與職業發展
• 具競爭力的薪資和完善的福利待遇
• 根據評估結果發放年度績效獎金和薪資成長。
• 職業晉升和專業發展的機會

要求

• 生物醫學科學學士學位或相關領域的同等學歷。
• 至少 2 年多學科臨床實驗室專業經驗，在血液學、生物化學、微生物學、化學病理學及其他相關學科方面擁有紮實的專業知識。
• 願意並能夠輪班工作，包括週末、假日以及根據需要值班。

職責

• 嚴格按照實驗室認證要求中規定的既定程序和標準進行實驗室測試。
• 分析與樣本充足性、實驗室數據和儀器相關的技術問題；找出根本原因並依照相關指南和程序解決問題。
• 審查和監控實驗室流程，以確保高品質的結果，並根據需要實施適當的糾正和預防措施 (CAPA)。
• 透過監控計畫預防性維護 (PPM) 計畫的執行情況，確保所有實驗室儀器保持最佳工作狀態。

員工福利及津貼

• 薪資與職業發展
• 具競爭力的薪資和完善的福利待遇
• 根據評估結果發放年度績效獎金和薪資成長。
• 職業晉升和專業發展的機會

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

At Continental Tires we want to make analytical excellence an integral part of all processes that have impact on leveraging business value. In cooperation with our domain experts from the Business units we identify business problems which can be supported and solved by using methods from Advanced Analytics and Artificial Intelligence. Only with data insights we will be able to adapt to changes and mitigate risks in a constantly changing economy.

As Data Scientist you will work in a global team of experts delivering Data Science products and know-how to diverse areas all over the tire business. Our Data Science Hub in Portugal will be integral part of this team.

Responsibilities

• Be integral part of projects in an area of specialization like Sales, Marketing or Supply Chain Management.
• Work on our Sales and Marketing data to create forecasts, customer insights and connect the dots that others don’t see.
• Work with domain experts to understand their problems and solve them with data.
• Be a partner in connecting the necessary experts from business and IT to solve problems.
• Get involved into different tasks at once and involve yourself with our team to get the support you need.
• Support in shaping the processes and organization to leverage the business value Data Science can bring to our enterprise.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

As a Senior Data Scientist, you will play a key role in developing end-to-end analytic solutions, shaping data and algorithms to deliver accurate and robust Predictive and Prescriptive Analytics. At NIQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of business, data science and engineering to transform business problems into robust, production-ready Data Science solutions.

Your Mission:

• Build scalable, production-ready data science solutions that enable the use of or directly utilize NIQ's Tech & Durable Point-of-Sale data.
• Collaborate cross-functionally with product managers, engineers, designers and business stakeholders to translate complex problems into actionable insights.
• Contribute to the evolution of our data science ecosystem through innovation, mentorship, and thought leadership.

Responsibilities:

• Perform research to drive the development of product focused Data Science solutions for our T&D business.
• Build, fine-tune and deploy state-of-the-art neural networks for Extreme Multilabel Classification problems.
• Ensure documentation, reproducibility and quality of code.
• Collaborate with MLEs and SREs to deploy models in live production pipeline
• Foster Data Science related knowledge exchange within NIQ (e.g. Lunch & Learns, Communities of Practice).
• Mentor and guide junior team members and working students, serving as a methodological expert and role model.

Summary:

The Data Science team is a leading an internal SMART factory implementation. The selected candidate will be a part of a dynamic team working closely with factory operations, engineering and platform development team to deliver factory of the future. This is a unique opportunity to be part of Western Digital Industry 4.0 journey and change the way technology is used.

Responsibilities

• Work with data scientists, data engineers, software engineers, process & product engineers, design engineers, etc collaboratively to develop new data science solutions that improve productivity and operations metrics.
• Researching and developing scalable Generative-AI solutions using AWS Bedrock platform, Large Language Models (LLM), MCP Server, n8n and prompt engineering for factory/engineering usage
• Deploy models and solutions using DevOps/MLOps tools such as Docker, Kubernetes, MLflow, AWS & Edge to ensure scalability and reproducibility.
• Collaborate in cross-functional teams to integrate AI/ML algorithms, image analytics and software into the Analytics systems (including chatbot/AR/Computer Vision) as well as develop prototypes.
• Design, develop, deploy and maintain Analytics Systems/solutions (Data engineering, Data Science, Chatbot, AI, Generative-AI, MCP, n8n, AR, Computer vision and Visualization/Web App) independently and delivered on time.
• Meeting users, gathering user requirements and communicating requirements to a technical team member for technical solution design, feasibility study & planning.
• Translate User Request into Analytics Solution from a system perspective. Prepare and deliver presentations with data visualizations and business conclusions.
• Constantly learn new front tier technology and creatively apply/deliver solutions to manufacturing operations to meet KPIs.

Get to know the Team

The Demand Analytics team turns data into growth—strengthening Grab's market leadership, optimizing product and promo performance, unlocking new demand through lifecycle and gamified experiences, scaling cross-vertical incentives and rewards, and partnering with product and business teams to pilot and scale high-ROI initiatives.

Get to know the Role

As a Senior Data Scientist for Demand team, you will be the analytical backbone of our growth strategy. You'll work with Product, Business, and Engineering teams to understand consumer behavior, identify market opportunities, and track the impact of our demand-generation efforts. Your role is to turn massive datasets into a roadmap for sustainable growth and competitive advantage.

You will reporting to our Analytics Manager and base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Identify Strategic Opportunities: Deep-dive into existing data to recommend product ideas that either solidify our current market share or unlock entirely new growth levers.
• Lead Experimentation: Design and propose robust experimentation strategies for new and exploratory features, analyzing results to provide clear "go/no-go" recommendations.
• Leverage AI for Insights: Utilize Generative AI and LLM-based tools to accelerate insight generation, automate root-cause analysis, and build intuitive, natural-language interfaces for complex data inquiries.
• Master Data Storytelling: Use visualization techniques and dashboards to present complex insights to non-technical audiences, influencing regional product roadmaps.
• Develop Scalable Frameworks: Identify recurring demand-side problem statements and build generalized analytical solutions to solve them efficiently at scale.
• Own Data Integrity: Design frontend and backend data specs for new demand features, collaborating with engineering to ensure high-quality data collection.
• Mentor and Role-Model: Support the professional development of junior team members while maintaining high standards of rigor in measurement, experimentation, and analysis.

Get to Know the Team

The Regional Market Insights Team plays an important role in influencing Grab's strategic and operational decisions by offering insights on industry developments and competitive dynamics. We evaluate the landscape through diverse lenses and complement traditional market research and analysis with innovative techniques.

Get to Know the Role

Reporting to our Senior Market Insights Manager, you will lead the strategic market analysis initiatives, transforming complex data into actionable insights that drive business growth and inform critical organizational decisions. You will collaborate with cross-functional teams to uncover market opportunities, analyze competitive dynamics, and deliver compelling insights that shape our strategic direction for GrabMart business.

You will be base onsite in our Petaling Jaya office.

The Critical Tasks You Will Perform

• Develop and implement advanced statistical models and machine learning algorithms to analyze market trends, consumer behavior patterns, and competitive dynamics across multiple business segments
• Design and conduct comprehensive market research studies to identify latest opportunities, potential risks, and market gaps that inform strategic planning
• Create compelling data visualizations and executive-ready reports that communicate complex insights to stakeholders at all organizational levels
• Collaborate with cross-functional teams including product, strategy, and operations to translate business problems into data-driven solutions and recommendations
• Mentor and support junior data scientists, promoting a culture of innovation, continuous learning, and analytical excellence
• Develop predictive models and forecasting frameworks to anticipate market trends and consumer preferences, allowing proactive decision-making
• Optimize data collection processes and implement best practices for data management, quality assurance, and analytical workflows
• Stay current with advancements in data science techniques, tools, and methodologies, evaluating their applicability to enhance our market analysis capabilities
• Present findings and recommendations to senior leadership with clarity and strategic context, translating data into business value

Get to Know the Team:

The Analytics team's mission is to use data and experimentation to advance product innovation. We love building hacky products to test and iterate what's best for our customers. As we ship multiple products every week, it means we have to fine-tune models, run and evaluate hundreds of experiments weekly! We are looking for experienced data scientists to build a center of data excellence for Product & Experimentation in a diverse range of tech families. Your role is to guide a data-first approach to product thinking, design controlled experiments, and be objective while evaluating results, all of this while working with stakeholders to evaluate innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them, and iterate on the next set of products to build for our users.

Get to Know the Role:

Reporting to the Senior Analytics Manager, you will work closely with different teams within a business line (Product, Business, Engineering, Design, and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

This role is based in Petaling Jaya and onsite.

The Critical Tasks You Will Perform

• You will analyze existing data and recommend new product ideas to address impactful customer problems based on business objectives.
• You will identify trends, spot anomalies, and investigate their root causes using data.
• You will utilize your data analysis and visualization skills to present insights and tell a compelling story to a non-technical audience.
• You will collaborate with stakeholders to align on key product metrics and propose experimentation strategies, including A/B testing.
• You will design and manage data specifications for new products, ensuring accurate data collection in collaboration with engineering teams.
• You will mentor junior team members, promote high standards in data handling, and develop scalable frameworks to address recurring problems efficiently.