96 Machine Learning Models jobs in Malaysia

Position Overview We are seeking a passionate and highly skilled

Computational Research Scientist

specializing in

deep learning

to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.

Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.

Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.

Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.

Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.

Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.

Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.

Proficiency in programming languages including Python (preferred), R, or MATLAB.

Strong written and verbal communication skills.

Proven ability to work independently and collaboratively in a dynamic research environment.

Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.

Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).

Experience with protein structure prediction and modeling.

Background in industrial biotechnology or experience working in start-up environments.

Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.

Quick learner with a proactive, inquisitive mindset.

Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.

Strong collaborator with excellent interpersonal and communication skills.

Commitment to high standards of scientific integrity and professional ethics.

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Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science)

Location: Damansara Heights/ Subang Bestari

Reporting to: Dean of School of Information and Communication Technology

Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of Talentbank’s Employer's Choice for Universities 2024 and proudly received the Diversity Hirer Award in the prestigious Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution.

JOB DESCRIPTION:

• To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements.
• To assist students in the understanding of the topics covered and generally to prepare them for their final examinations.
• To guide students in the understanding of assignment requirements.
• To answer student queries on academic matters relating to the unit promptly.
• To set and mark assessments (quiz, test, assignments, examinations) for students.
• To invigilate examinations.
• To develop and update course materials as required.
• To attend staff meetings as deemed necessary by the Head of the Department.
• To give students regular guidance to assist the progress of their academic achievement.
• To counsel students on appropriate career/academic direction on completion of their course.
• To counsel at exhibition fairs which HELP participates.
• To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference.

JOB REQUIREMENTS:

• A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing.
• At least 3 years working experience as an academic.
• Experience as a programme leader and supervision at Masters and PhD level would be an advantage.
• Strong communication and interpersonal skills.
• Strong organizational and time management skills.
• Knowledge of MQA standards and regulatory requirements.
• Proficient in Microsoft Office Suite and others.

At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.

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Job Title: Lecturer (Data Science/Artificial Intelligence/Cybersecurity/Computer Science) Location: Damansara Heights/ Subang Bestari Reporting to: Dean of School of Information and Communication Technology Established in 1986, HELP University is a leading institution in Malaysia, renowned globally for its commitment to excellence in education. It's ranked No. 1 for Outbound Student Exchange programs in QS World University Ranking: Asia 2021. It is also a top choice for international students and employers, offering high-quality specialist disciplines and postgraduate programs. Recently, it was honored as one of

Talentbank’s Employer's Choice for Universities 2024

and proudly received the Diversity Hirer Award in the prestigious

Life at Work Awards by TalentCorp , further cementing its reputation as a forward-thinking and inclusive institution. JOB DESCRIPTION: To lecture/teach the course(s) assigned and cover the syllabi outlined for the assigned course(s) in a logical and readily understood sequence, and in accordance with students' assignment requirements. To assist students in the understanding of the topics covered and generally to prepare them for their final examinations. To guide students in the understanding of assignment requirements. To answer student queries on academic matters relating to the unit promptly. To set and mark assessments (quiz, test, assignments, examinations) for students. To invigilate examinations. To develop and update course materials as required. To attend staff meetings as deemed necessary by the Head of the Department. To give students regular guidance to assist the progress of their academic achievement. To counsel students on appropriate career/academic direction on completion of their course. To counsel at exhibition fairs which HELP participates. To conduct research in areas as per discussion with Head of Department and publish papers and present papers at conference. JOB REQUIREMENTS: A PhD or Masters degree in Data Science, Artificial Intelligence, Cybersecurity, Computer Science, Computing. At least 3 years working experience as an academic. Experience as a programme leader and supervision at Masters and PhD level would be an advantage. Strong communication and interpersonal skills. Strong organizational and time management skills. Knowledge of MQA standards and regulatory requirements. Proficient in Microsoft Office Suite and others. At HELP University, we believe that our strength lies in the diversity of our team. We are committed to fostering an inclusive environment where all individuals are treated with respect and are empowered to contribute fully. We welcome applications from people of all backgrounds, regardless of race, ethnicity, gender, sexual orientation, age, disability, or any other characteristic that makes each of us unique.

#J-18808-Ljbffr

About us

With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components and wafers, SCHOTT's business unit Advanced Optics develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more.

Beyond that, we are serving augmented reality innovators worldwide as the leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. As we are fully committed to bringing augmented reality technology to the public, we are currently expanding our manufacturing capacity in Malaysia.

You want to be part of it? Then apply now.

Your Contribution

• To ensure that data-driven decisions are possible to improve product quality, performance, and cost during the product development and NPI phase.
• Set up automated data acquisition and data extraction.
• Develop tools to verify data integrity.
• Responsible for continuous data quality improvements.
• In charge of data mining and data analytics.
• Develop data science solutions using statistical and machine learning techniques.
• Apply statistical methods to detect anomalies, trends, and shifts.

Your Profile

• BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics, or Engineering.
• At least 5 years of experience in the field of data analytics, data mining.
• Technical expert in data analytics and data mining.
• Proficient in Python and SQL languages.
• Experienced with statistical modeling and data mining techniques.
• Strong problem-solving skills with the ability to multi-task and manage multiple projects simultaneously.

Your Benefits

SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential.

At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company.

Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events.

Contact Us

Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang +86512680959896101.

*At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.

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Join to apply for the Data Science Manager role at MoneyMatch

1 day ago Be among the first 25 applicants

Join to apply for the Data Science Manager role at MoneyMatch

The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization.

Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape.

About the Role:

We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives.

This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs.

Primary Responsibilities:

• Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment.
• Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses.
• Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies.
• Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units.
• Ensure proper data governance, model validation, and documentation standards are followed.
• Present insights and recommendations to senior stakeholders to support data-driven decision-making.
• Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack.
• Stay current with industry trends and advancements in data science, programming and FinTech industry.

Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields.
• 5+ years of experience in data science with at least 2-3 years in a managerial or lead role.
• Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight).
• Excellent communication skills, both technical and non-technical.
• Proven track record of delivering impactful data projects that influence business outcomes.

Preferred Qualifications:

• Ability to work in a fast-paced agile development environment.
• Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks.
• Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello.
• Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions.
• Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyMatch by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM).

Job Description

• Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues.
• Support Internal and External Clients with the understanding of Data Science design and methodology.
• Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions.
• Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python.
• Understand Nielsen products and services to suggest new solutions for client challenges.
• Collaborate with other Data Science team units.
• Automate and develop solutions for existing processes.
• Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.

Qualifications

About you

You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next.

Qualifications

• Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate.
• Intermediate levels proficiency with Python
• Implementation experiences on automation of processes
• Problem-Solving skills
• Ability to effectively convey complex concepts to non-experts
• Intellectual curiosity and persistence to find answers to questions
• Eager to continuously learn and adapt to changing technologies and tools.
• Good command of written and spoken English.
• Good collaborative and interpersonal skills to communicate at all levels.
• Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI)

Good to Have

• Knowledge of Machine Learning /Web scrapping
• Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools.
• Up to date with technology and active user of eCommerce platforms
• Familiarity with Atlassian, Git, Bitbucket and Confluence
• Familiarity with marketing analytics, including designing experiments and consumer behavior analysis.

Additional Information

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Great compensation linked to individual performance and company results.

• Hybrid work

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on:LinkedIn |Instagram |Twitter |Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

#J-18808-Ljbffr

About Us

With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components, and wafers, SCHOTT's Advanced Optics business unit develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more. We also serve augmented reality innovators worldwide as a leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. We are currently expanding our manufacturing capacity in Malaysia to bring augmented reality technology to the public. If you're interested in joining us, please apply now. Your Contribution

Ensure data-driven decisions are possible to improve product quality, performance, and cost during product development and NPI phases. Set up automated data acquisition and extraction processes. Develop tools to verify data integrity. Maintain continuous data quality improvements. Conduct data mining and analytics. Develop data science solutions using statistical and machine learning techniques. Apply statistical methods to detect anomalies, trends, and shifts. Your Profile

BSc/MSC/Ph.D in Mathematics, Computer Science, Information Technology, Physics, or Engineering. Minimum of 5 years experience in data analytics and data mining. Technical expertise in data analytics and data mining. Proficient in Python and SQL. Experience with statistical modeling and data mining techniques. Strong problem-solving skills with the ability to manage multiple projects. Your Benefits

SCHOTT promotes your development with benefits like active health management, flexible working hours, hybrid work, and corporate pension plans. We foster a corporate culture emphasizing equity, diversity, and inclusion, offering multiple career opportunities, health coverage, talent development, and team events. Contact Us

Expect interesting tasks, challenging projects, and motivated teams. To join us, send your application to SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang, at +86512680959896101. At SCHOTT, your personality counts—regardless of gender, identity, or origin.

#J-18808-Ljbffr

Company Description NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View(TM). Job Description

Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. Support Internal and External Clients with the understanding of Data Science design and methodology. Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest new solutions for client challenges. Collaborate with other Data Science team units. Automate and develop solutions for existing processes. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. Qualifications

About you You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next. Qualifications Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Good to Have Knowledge of Machine Learning /Web scrapping Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Additional Information

Benefits: • Exciting work environment that brings people together. • Use the latest digital technologies. • Ongoing trainings to support your development. • Opportunities for personal and professional growth. • Great compensation linked to individual performance and company results. • Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:

Join to apply for the

Data Science Manager

role at

MoneyMatch 1 day ago Be among the first 25 applicants Join to apply for the

Data Science Manager

role at

MoneyMatch The Data Science team serves as the backbone of the company’s data ecosystem, encompassing a wide range of diverse responsibilities. From developing and maintaining robust data pipelines for efficient data handling, to designing and deploying tailored data-driven platforms & products, our team ensures a seamless data management experience for the entire organization. Most importantly, the Data Science team positions itself as the driving force behind the company’s multi-faceted growth. Operating under the motto of “Pushing the Limit”, the role is just as dynamic as it is impactful. Our comprehensive approach reflects our commitment to strategic data management, enabling and further empowering business units with actionable insights. The collaborative efforts of the Data Science team elevate the efficiency, accuracy, and strategic value of our organization's data landscape. About the Role: We are seeking an experienced and passionate Data Science Manager to lead and grow our Data Science team. As a Data Science Manager, you will be at the forefront of transforming data into actionable intelligence. You will lead a multidisciplinary team of data professionals to solve complex business problems using data-driven solutions that influence strategic decisions across the company. You will work closely with cross-functional teams including product, engineering, operations, and compliance to drive innovation and ensure the successful delivery of analytics initiatives. This role requires not only strong technical skills in data science but also solid leadership, project management capabilities, and a collaborative mindset. Experience in agile development, sprint planning, and Jira will be highly valuable as you’ll help manage the team’s workflow and maintain high operational efficiency. A background in data product management and software engineering is a plus, enabling you to bridge technical execution with business needs. Primary

Responsibilities: Lead, mentor, and manage a team of data analysts, developers and engineers to execute projects from ideation to deployment. Oversee the development and deployment of machine learning algorithms, data science platforms and statistical analyses. Manage project timelines, sprint cycles, and backlog prioritization using agile methodologies. Collaborate closely with various other business units in the organization, engaging in their daily operations to comprehend existing processes, with the intention of enhancing operational efficiency within those business units. Ensure proper data governance, model validation, and documentation standards are followed. Present insights and recommendations to senior stakeholders to support data-driven decision-making. Evaluate and adopt the latest tools, technologies, and frameworks to maintain a modern data science stack. Stay current with industry trends and advancements in data science, programming and FinTech industry. Requirements: Bachelor's Degree in Computer Science, Software Engineering, Data Science or experience in related fields. 5+ years of experience in data science with at least 2-3 years in a managerial or lead role. Strong proficiency in Python & R, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI, Quicksight). Excellent communication skills, both technical and non-technical. Proven track record of delivering impactful data projects that influence business outcomes. Preferred Qualifications: Ability to work in a fast-paced agile development environment. Experience with software engineering practices, including version control (Git), CI/CD pipelines, and testing frameworks. Familiarity with agile project management, including sprint planning, retrospectives, and using tools such as Jira or Trello. Proven experience as a Data Product Manager or working closely with product teams to shape data products and solutions. Strong project management skills, with a track record of managing timelines, stakeholders, and cross-functional collaboration. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Referrals increase your chances of interviewing at MoneyMatch by 2x Get notified about new Data Science Manager jobs in

Petaling Jaya, Selangor, Malaysia . Federal Territory of Kuala Lumpur, Malaysia 3 days ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 year ago T&T Director - Artificial Intelligence & Data (Technology, Media & Telecommunications) - MY

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 4 days ago Petaling Jaya, Selangor, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 21 hours ago Petaling Jaya, Selangor, Malaysia 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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