51 Data Science Director jobs in Malaysia
Senior Research Manager/Associate Director (Qualitative),Advisors Research Center
Posted 11 days ago
Job Viewed
Job Description
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Research Manager/Associate Director (Qualitative),Advisors Research Center
Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
All About Us
The Data & Services team is a key differentiator for Mastercard providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data driven information and risk management services. While specializing in the payments industry, Mastercard Data & Services also works closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network.
All About the Role
The Advisors Research Center is a global research capability within Mastercard Advisors that responds quickly to evolving customer needs with high-quality research support. With a strong focus on value realization, the Advisors Research Center plays a key role in generating insights and actionable recommendations. It complements and enhances Advisors' traditional strengths, supporting deeper, evidence-based decision-making.
As a Senior Research Manager / Associate Director, you will lead custom research engagements that inform Mastercard's consulting projects, marketing strategies, and product innovations across a wide array of clients and industries.
Your responsibilities would include:
- Lead end-to-end primary research engagements, from proposal and design through to delivery of insights.
- Scope research approaches tailored to strategic business challenges, leveraging primarily qualitative methods.
- Moderate in-depth interviews and focus groups, manage vendors, and conduct analysis as needed.
- Synthesize findings into compelling stories with clear, actionable recommendations.
All About You
You are a skilled researcher who is passionate about uncovering insights that matter. You thrive in fast-paced environment and are confident managing multiple projects, stakeholders, and timelines.
- Proven experience leading custom research projects (mainly primary research), ideally in a consultancy, agency, or client-side insights team.
- End-to-end project management capabilities from scoping and design through execution, team oversight and final delivery.
- Strong ability to engage with internal and external stakeholders, including consulting to understand client objectives, frame research questions, and confidently lead presentations and communications throughout the project.
- Experience working with research vendors, including vendor management, managing fieldwork logistics, execution of primary research studies, and discussion guide preparation.
- Demonstrated people management responsibilities, including leading a small team and mentoring junior researchers (preferably, not mandatory).
- Excellent communication and business writing skills, with the ability to translate complex data into clear, compelling insights and produce professional, client-ready materials that influence decision-makers.
All About Your Education & Skills
- 8-10+ years of relevant experience in research, customer insights, or strategy consulting, with a strong emphasis on qualitative research.
- Extensive experience leading primary research projects with a strong focus on qualitative methods, including end-to-end management from design and moderation to analysis and reporting.
- Highly skilled in applying a range of techniques such as in-depth interviews, focus groups, and ethnographic approaches tailored to project objectives and audiences, with a proven ability to generate actionable insights that inform strategic decision-making.
- Preferred (not mandatory) experience in quantitative research methods, with a collaborative mindset to work effectively with quantitative teams and integrate findings for a comprehensive understanding of consumer behavior.
- Strong knowledge of various qualitative research methodologies and tools, with the flexibility to tailor approaches according to specific project objectives and target audiences.
- Familiarity with the financial services industry is preferred, including awareness of recent trends, issues, and key topics.
- Fluency in English is required; proficiency in additional languages is considered an advantage.
- Advanced skills in Microsoft Word, Excel, and PowerPoint are essential, with knowledge of project management tools preferred.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Data Science Analyst
Posted 3 days ago
Job Viewed
Job Description
1 month ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Role Overview
We are seeking a highly analytical and detail-oriented Data Science Analyst with expert-level Power BI skills and a strong foundation in data analysis, documentation, and communication. This role requires the ability to convert business challenges into scalable data solutions, deliver visually compelling dashboards, and partner closely with cross-functional teams to influence decision-making across multiple markets.
You’ll be instrumental in bridging data, business requirements, and user experiences, while supporting model development and AI-driven features within our CRM ecosystem.
Key Responsibilities
Analysis & Insights
- Apply statistical techniques and data mining methods to large datasets to uncover trends, patterns, and correlations.
- Clean, transform, and validate data for analysis and reporting, ensuring accuracy, completeness, and consistency.
- Collaborate with stakeholders to define KPIs, business rules, and success metrics for various use cases (e.g., churn, campaign performance).
- Design and execute data validation and quality control checks across multiple pipelines.
Power BI & Visualization (Expert Level)
- Build visually intuitive, interactive, and performance-optimized Power BI dashboards to support business and client needs.
- Ensure visualizations are easily understood by non-technical users across markets and functions.
- Leverage advanced features like DAX, row-level security, bookmarks, drill-through, and paginated reports to meet business needs.
- Work closely with engineering and campaign teams to embed insights into real-time reporting solutions.
Documentation & Communication
- Prepare Business Requirement Documents (BRDs), Functional Specifications (FSDs), use cases, and process flow diagrams.
- Translate complex requirements into technical tasks in collaboration with the development team.
- Document analysis outcomes and present clear narratives for internal stakeholders and client partners.
- Support the full data science lifecycle: from defining the business problem, data collection, exploration, modeling, validation, and solution delivery.
- Contribute to proof-of-concepts involving Generative AI, NLP, personalization, or best-next-action models (experience is a plus, not mandatory).
- Engage in agile ceremonies and maintain documentation and collaboration via Jira and Confluence.
Skills & Qualifications
Must-Have:
- 4+ years of hands-on experience building advanced Power BI dashboards.
- Strong proficiency in SQL and handling large relational datasets.
- Demonstrated experience writing BRDs, FSDs, process flows, and structured documentation.
- Strong analytical skills with knowledge of statistical techniques and data mining methods.
- Ability to independently manage tasks while working cross-functionally with tech, campaign, and business teams.
- Excellent communication and problem-solving abilities with a proactive and team-oriented approach.
Preferred / Nice to Have:
- Working knowledge of Python or R for analysis and modeling.
- Familiarity with Azure, Databricks, and cloud-based data tools.
- Experience in AI/ML applications such as NLP, personalization, time-series, or image recognition is a plus.
- Exposure to automated testing tools (e.g., Cucumber) and CI/CD integration for analytics solutions.
- Seniority level Associate
- Employment type Full-time
- Job function Analyst and Consulting
- Industries IT Services and IT Consulting and Consumer Services
Referrals increase your chances of interviewing at CPR Vision Management by 2x
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago
Data Analyst - SG Business Intelligence (Open for fresh graduates)Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 days ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago
Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 4 days ago
Business Analyst, Data Analytics & InsightsKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 2 days ago
WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500 - MYR4,000 1 month ago
DRSC Global Core Analyst - Research and InsightsPetaling 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.
#J-18808-LjbffrData Science Manager
Posted 3 days ago
Job Viewed
Job Description
This job is a Data Science Manager leading a team to turn data into smart strategies. You might like this job because you'll drive innovation, collaborate with various departments, and help shape business decisions using cutting-edge data insights!
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.
Data Analysis
Data Management
Data Modeling
Data Science
Data Warehousing
Database Design
Database Management
Software Engineering
Agile Software Development
Company Benefits Medical BenefitsInpatient & outpatient medical benefits are provided to all full time staff.
Fast Growth StartupWe provide ample opportunities for career advancement and personal growth within our dynamic environment.
Fully Stocked PantryOur pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss!
Weekly ActivitiesWeekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin!
Performance appraisal will be conducted twice a year.
Laptop/Desktop/Mobile Phone ProvidedWe provide the necessary devices for you to do the job.
MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.
#J-18808-LjbffrData Science Manager
Posted 3 days ago
Job Viewed
Job Description
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 Mid-Senior level
- Employment type Full-time
- 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) - MYKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Petaling Jaya, Selangor, Malaysia 2 months ago
Federal Territory of Kuala Lumpur, Malaysia 3 months ago
Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago
Federal Territory of Kuala Lumpur, Malaysia 5 hours ago
WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Business Intelligence and Data Analytics ManagerKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago
Wilayah Persekutuan Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago
Associate Director, Catastrophe ManagementKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago
WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 21 hours ago
Federal Territory of Kuala Lumpur, Malaysia 1 hour ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago
Pricing Excellence & Analytics Manager, East Asia Senior Manager, Performance Management & ActuarialKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 months ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago
WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago
DRSC SR&T Manager, Forensic and Financial Crime - Data AnalyticsKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago
Senior Manager, Performance Management & ActuarialKuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 year ago
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago
Manager / Senior Manager, Pricing & Revenue ManagementKuala 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.
#J-18808-LjbffrData Science Executive
Posted 3 days ago
Job Viewed
Job Description
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.
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.
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-LjbffrData Science Analyst
Posted today
Job Viewed
Job Description
Seniority level Associate Employment type
Employment type Full-time Job function
Job function Analyst and Consulting Industries IT Services and IT Consulting and Consumer Services Referrals increase your chances of interviewing at CPR Vision Management by 2x Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Data Analyst - SG Business Intelligence (Open for fresh graduates)
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 4 days ago Business Analyst, Data Analytics & Insights
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur City, Federal Territory of Kuala Lumpur, Malaysia 2 days ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500 - MYR4,000 1 month ago DRSC Global Core Analyst - Research and Insights
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.
#J-18808-Ljbffr
Data Science Manager
Posted today
Job Viewed
Job Description
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. Job Requirements
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. Skills
Data Analysis Data Management Data Modeling Data Science Data Warehousing Database Design Database Management Software Engineering Agile Software Development Company Benefits
Medical Benefits
Inpatient & outpatient medical benefits are provided to all full time staff. Fast Growth Startup
We provide ample opportunities for career advancement and personal growth within our dynamic environment. Fully Stocked Pantry
Our pantry is restocked every 2 weeks to keep you fueled throughout the day. Free food yasss! Weekly Activities
Weekly badminton, futsal and running session after work. All on house. Just come with your racket and sports gear, and let the fun begin! Performance appraisal will be conducted twice a year. Laptop/Desktop/Mobile Phone Provided
We provide the necessary devices for you to do the job. MoneyMatch is a multi-national financial technology firm focusing on international payments. Our award winning digital platform has successfully executed over MYR 950 million in transactions covering cross-border trade payments and individual remittances. We've achieved such rapid success by optimizing our treasury operations with machine learning algorithms and integration with blockchain solutions for swifter.
#J-18808-Ljbffr
Be The First To Know
About the latest Data science director Jobs in Malaysia !
Data Science Executive
Posted today
Job Viewed
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:
Data Science Manager
Posted today
Job Viewed
Job Description
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
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 2 months ago Federal Territory of Kuala Lumpur, Malaysia 3 months ago Federal Territory of Kuala Lumpur, Malaysia 4 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Federal Territory of Kuala Lumpur, Malaysia 5 hours ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Business Intelligence and Data Analytics Manager
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Wilayah Persekutuan Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Associate Director, Catastrophe Management
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 21 hours ago Federal Territory of Kuala Lumpur, Malaysia 1 hour ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Pricing Excellence & Analytics Manager, East Asia
Senior Manager, Performance Management & Actuarial
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago DRSC SR&T Manager, Forensic and Financial Crime - Data Analytics
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Senior Manager, Performance Management & Actuarial
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 year ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Manager / Senior Manager, Pricing & Revenue Management
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.
#J-18808-Ljbffr
Senior Manager - Data Science
Posted 3 days ago
Job Viewed
Job Description
- Oversee the analytics team to deliver actionable insights for business improvement.
- Develop and implement analytics strategies to enhance decision-making processes.
- Collaborate with cross-functional teams to identify data-driven opportunities.
- Ensure data accuracy and integrity in reporting and analysis.
- Monitor and analyze key performance metrics to evaluate business outcomes.
- Lead the adoption of advanced analytics tools and methodologies.
- Provide guidance and mentorship to team members to foster professional growth.
- Prepare and present high-level reports to senior management.
A successful Senior Manager in Analytics should have:
- A degree in Analytics, Data Science, Business, or a related field.
- Proven expertise in data analytics and business intelligence tools.
- Strong leadership and team management skills.
- Excellent problem-solving and critical-thinking abilities.
- Experience in translating data into actionable insights and strategies.
- Strong communication skills to interact with stakeholders effectively.
- Competitive salary of MYR 180,000 to MYR 240,000 annually.
- Attractive benefits, including a 3-month performance bonus and a 15% EPF contribution.
- Supportive and collaborative work environment in Kuala Lumpur.
- Exposure to advanced analytics tools and methodologies.
This is an excellent opportunity for ambitious professionals to make a significant impact in the Data Science space. Apply now to take your career to the next level!