97 Data Science Director jobs in Malaysia

The QualiFind Group is managing a worldwide search for a
Research & Development Director
for our client's manufacturing site in
Tijuana, Baja California
. We are seeking a senior-level candidate with specific experience in the back-end semiconductor business.
ALL INTERNATIONAL CANDIDATES ARE INVITED TO PARTICIPATE.

We are seeking a highly accomplished
R&D Director
to lead innovation and technology development for a global semiconductor manufacturer specializing in packaged back-end components for the automotive and industrial sectors. This individual will drive advanced packaging strategies, new product development, and innovation initiatives that strengthen the company's market leadership in performance, reliability, and cost competitiveness.

Key Responsibilities

• Set and execute R&D strategy
  for semiconductor packaging, ensuring alignment with automotive and industrial market needs, customer requirements, and corporate objectives.
• Lead advanced packaging technology development
  , including materials, processes, and reliability engineering, to deliver differentiated products.
• Oversee new product introduction (NPI)
  , from concept and feasibility through prototyping, qualification, and volume production.
• Drive innovation pipelines
  by scouting emerging technologies, building collaborations with universities, suppliers, and research institutes, and expanding the company's intellectual property portfolio.
• Ensure compliance
  with industry standards, customer requirements, and regulatory frameworks (e.g., automotive quality standards, industrial certifications).
• Partner closely with global manufacturing and operations
  to ensure seamless technology transfer and scalable implementation.
• Engage directly with customers
  to understand evolving needs, co-develop solutions, and strengthen technology partnerships.
• Develop and mentor high-performing teams
  , fostering a culture of innovation, technical excellence, and continuous improvement.

Experience & Background

• 10+ years of progressive leadership
  in R&D, engineering, or technical management, with
  (back-end) semiconductor industry experience strongly preferred
  .
• Proven ability to
  lead cross-functional, multicultural, and global teams
  , fostering collaboration across geographies.
• Deep expertise in
  semiconductor packaging technologies
  , materials, and back-end assembly processes, with a strong understanding of
  semiconductor electronics and digital transformation
  .
• Demonstrated track record of
  translating technology into commercially viable solutions
  and driving competitive differentiation.

Leadership & Management

• Demonstrated success in
  building, scaling, and developing high-performing R&D organizations
  .
• Effective
  stakeholder management skills
  , engaging with global customers, suppliers, and internal leadership.
• Strong communicator, able to
  bridge technical depth with business strategy
  and influence at the executive level.
• Strategic mindset with
  focus on execution, innovation pipelines, and portfolio management
  .

Education

• Bachelor's degree in Engineering, Materials Science, Physics, or related technical field required.
• Master's or PhD strongly preferred
  , particularly with specialization in semiconductor technologies or advanced packaging.

Job Summary

Responsible for developing innovative solutions for security and operational challenges, supervising and mentoring junior staff, researching emerging threats, and building stakeholder relationships. They drive initiatives to enhance the security and reliability of network infrastructure, solve technical challenges, design scalable systems, maintain documentation, ensure quality, focus on user-centric solutions, and contribute to strategic technological planning.

Key Accountabilities / Responsibilities

• Planned, developed, and implemented innovative solutions and initiatives to enhance network infrastructure and services' security, resiliency, and reliability, including critical network information infrastructure.

• Planned, supervised, and deployed the development of security tools and artificial intelligence systems and benchmarked emerging security technologies to strengthen the overall security posture of organizations and stakeholders.

• Project lead on process automation initiatives to enhance operations and service delivery within the division, sector, organization, and among external stakeholders.

• Study, identify, and evaluate emerging security threats and risks and develop effective mitigation strategies, tools, and systems to manage those threats and risks.

• Project lead on implementing vulnerability assessment and penetration tests on communications & digital products, services, systems, and organizations to identify security vulnerabilities and pursue corrective action to address them.

• Team lead for threat-intelligence gathering and horizon–scanning activities to increase situational awareness and preparedness for rising security threats and risks.

• Undertake strategic and tactical R&D activities to explore new technologies and techniques to enhance MCMC and the industry's capabilities while reducing overdependency on vendor-supplied network/cyber security solutions.

• Establish research partnerships with academia to enhance capabilities, processes, tools, and systems.

• Collaborate with other departments, technical agencies, law enforcement agencies, service providers, vendors, and other relevant parties on mitigating cyber-dependent crimes, cyber-enabled crimes, and the misuse of telecommunications services.

• Recommend capacity and expertise gaps within the department and enhance the necessary skillsets through comprehensive training and capacity building.

• A budget representative for the financial budget and costs to ensure effective and efficient utilization and management of funds.

• Provide coaching, guidance, and mentoring to junior department staff to motivate them to fulfil their self-actualization.

Ideal Candidate Requirements

Education & Qualifications

• Minimum Bachelor's Degree in Computer Science, Cybersecurity, Network Security, Programming or relevant discipline from a reputable University/College.

Experience

• A minimum of 5 - 8 years of working experience in computer science, cyber security, or a related field and experience in developing systems and tools.

• Proven experience in a senior technical role within network security or related field.

• Expertise in scalable system design and development.

• Problem-solving skills and out-of-the-box thinking.

• Multi-task, work independently, and work under pressure with minimum supervision.

Technical & Functional Skills

• Experienced in the publication of papers.

• Strong Network security skills.

• Research and development skills.

• Excellent in writing and communication skills in English and BM

Leadership & Interpersonal Skills

• Excellent verbal and written communication skills.

• Analytical thinking and problem-solving skills.

• Ability to multitask.

• Project management skills

Job Type: Permanent

Pay: RM6, RM8,000.00 per month

Benefits:

• Professional development

Work Location: In person

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• Strategic Collaboration with Data Science: Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies.
• Full-cycle Data Pipeline Engineering: Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance.
• Actionable Insights Visualization: Develop and maintain real-time Tableau dashboards integrating internal BI platforms. Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis.
• Onsite: KL, reachable by public transport (location note).

• Degree in Computer Science or related technical field
• 2+ years of working experience in data analysis/data warehouse/mart development and BI reporting
• Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for performance tuning
• Working experience in building BI dashboards with Tableau and other BI tools
• Strong analytical and technical skills in building batch/streaming data pipelines for big data
• Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis.
• Experience deploying models in production and adjusting model thresholds to improve performance is a plus
• Strong interest or knowledge in gaming industry is a plus

• Seniority level: Associate
• Employment type: Contract
• Job function: Information Technology
• Industries: IT Services and IT Consulting

Referrals increase your chances of interviewing at iSoftStone by 2x.

Get notified about new Data Science Specialist jobs in Greater Kuala Lumpur .

● Strategic Collaboration with Data Science

Partner with data scientists to operationalize analytical models, transforming raw insights into production-ready data assets for game monetization and user retention strategies.

● Full-cycle Data Pipeline Engineering

Design and deploy scalable ETL/ELT pipelines leveraging PySpark/SQL to process 10M+ daily transactions across multi-dimensional datasets (e.g., player behavior, in-game economy). Ensure data integrity for modeling, KPI reporting, and regulatory compliance.

● Actionable Insights Visualization

Develop and maintain real-time Tableau dashboards integrating internal BI platforms . Translate complex metrics into strategic insights for stakeholders using frameworks like AARRR or LTV analysis.

Job Requirements:

●Degree in Computer Science or related technical field

●2+ years of working experience in data analysis/data warehouse/mart development and BI reporting

●Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning

●Working experience in building BI dashboards with Tableau and other BI tools

●Strong analytical and technical skills in building batch/streaming data pipelines for big data

●Proficiency in Mandarin (both written and spoken) to effectively communicate with non-English speaking counterparts based in China for gathering requirements and analysis.

●Experience deploying models in production and adjusting model thresholds to improve performance is a plus

●Strong interest or knowledge in gaming industry is a plus.

●
Onsite: KL, reachable by public transport

Get To Know Our GX Bank Team
GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved individuals, and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

Get To Know The Role

• Create and execute the data science & analytics approach in a startup atmosphere to support the business goals and objectives with commercial value of work prioritization and execution, which will deliver actionable insights for business planning and execution.
• Develop and deploy analytical solutions, data science models and/or analytics insights for management and business teams across the Digibank's regional footprint to make informed business decisions, across a variety of business functions, including, but not limited to: customer acquisition, customer retention, product development, pricing decisions, credit risk, fraud identification and many other business needs within the Digibank for both retail and wholesale banking customers.
• Uncover and deliver actionable insights, trends and product recommendations to support the business, through deep dive analysis and advanced visualization techniques.
• Conduct both historical and predictive analyses and convert into digestible, readable, and publicly-available insights.
• Design and develop Generative AI solutions by leveraging generative AI techniques to create new content, automate processes, and develop innovative products that offer added value to our customers, boost productivity and operational efficiency.
• Manage and own the entire end-to-end MLOps life cycle includes data exploration, training data, feature engineering, model development, validation, scoring, codes standardization, unit testing, deployment via API and model maintenance.
• Interface with business, risk & operation teams across the countries within the region to formulate solutions & product changes informed by your findings and business inputs/reality.
• Being the analytics technical expert with hands-on experiences who uses large datasets, creative and strong in applying varieties of Generative AI, machine learning methodologies / algorithms with different data tools in developing the models, running simulations & optimization.
• Being an analytics consultant for the business stakeholders to recommend and deliver both innovative and effective analytics solutions in driving continuous improvements and addressing business questions.
• Engineer predictive features from internal data assets to build refined customer profiles.
• Identify external data assets to bring into the model mix.
• Ensure high quality models and seamless integration, which includes model accuracy, automated quality checks, API latencies, deployment time etc.
• Write SQL scripts for data transformation.
• Ensure data accuracy and good segmentation of data sets for tactical data mining.
• Taking on the responsibilities as a Technical Project Manager to drive projects, by partnering closely with the broader business, operation, product, engineering and marketing teams to define requirements, design and analyze experiments that drive key product designs and marketing decisions.
• Act as the liaison officer between business units across the countries within the region and Data Engineering team on curating the data to be stored in a database and then used for dashboarding or analytics use cases.
• Thrive on sharing knowledge with others and helping collaborators grow to foster a positive and productive work environment.
• Stay current on cutting edge artificial intelligence (AI) tools and approaches.

The Must Haves

• Significant relevant experience (At least 5 years of experience) in building and deploying Generative AI, machine learning and predictive model solutions on large amounts of data.
• Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, Computer Science, Applied Mathematics, Statistics, Machine Learning, or a related quantitative field.
• Extensive hands-on experience in coding and modelling skills in Spark, Python, R, SQL, Presto, Hive proficiency
• Deep technical and data science expertise, including experience in the following:
• Analytical methods: statistical modeling (e.g., logistic regression, time series CHAID, PCA), supervised machine learning (e.g., random forests, neural networks), unsupervised learning, design of experiments, segmentation/clustering, text mining, network analysis and graphical modelling, optimization, simulation
• Experience building in-production models, including associated scripting, error handling and documentation
• Experience in cloud platforms like AWS, Azure, GCP etc
• Strong expertise in Generative AI frameworks and models such as GANs, VAEs, GPT, BERT, Claude, DeepSeek etc.
• Proficient in ensuring timely delivery of high quality analytics
• Solid experience in reporting to management in delivering analyses and reports.
• Experience with designing, running and analyzing A/B tests and product experiments with a good understanding of hypothesis testing and the basic principles of Design of Experiment.
• Passionate about solving problems – possesses a relentless need for investigation and data exploration.
• Results and detail-oriented, with strong intuitions on how to solve problems creatively and quickly.
• Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, etc.
• Understanding of trade-offs between model performance and business needs.
• Strong business acumen, inherent curiosity about data, stakeholder management and project management skills to prioritize & manage multiple priorities in a fast-paced and multidisciplinary environment
• Highly self-driven, demonstrate critical thinking, team player & fast learner
• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Retail analytics, Fraud analytics etc.

The Nice-To-Haves

• Familiar with Airflow and DAGs to automate and schedule data pipeline tasks and workflows
• Good to have experience on tools such as dbt, Presto, Hive, and Data Visualization platforms like Tableau, Power BI etc

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions.

We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action. In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share.

People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience.

MoneyLion is America’s most powerful and rewarding financial membership, empowering people to take control of their finances to achieve their overall life goals. Since its launch in 2013, MoneyLion has amassed more than 4 million members and has earned its customers trust with new banking and investments capabilities that offer a one-of-a-kind rewards program, no-fee checking account, overdraft protection, and loans funded in 15 seconds or less.

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of Moneylion’s machine learning algorithms behind MoneyLion’s data-driven products.

• Lead the technical direction and execution of the complete machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for machine learning projects towards well-defined success metrics
• Ensure the delivery of machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, and NLP projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

What's Next. After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Interview - Talent Acquisition Team (Virtual or face-to-face)
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

As a Data Science Manager in the Machine Learning Department, you will have the opportunity to lead a high-performing team responsible for developing the next generation of MoneyLion’s machine learning algorithms behind MoneyLion’s data-driven products. You will lead research initiatives and experiment with state-of-the-art AI and machine learning techniques to solve challenging business problems ranging from fraud and credit underwriting to financial recommendations and content categorization. This involves driving technological innovation across a large variety of domains while consistently delivering measurable business value and demonstrating accelerated team performance. You will extend your influence across Product, AI Engineers, MLOps, and Data Scientists to pioneer additional opportunities for applications of AI and machine learning solutions. You will establish and enforce model governance standards across AI projects, provide confidence in the integrity of the models deployed, and push the frontier of AI and machine learning in finance at MoneyLion.

• Lead the technical direction and execution of the complete AI & machine learning lifecycle, from research and development to validation, deployment, and post-production
• Envision and craft roadmap for AI & machine learning projects towards well-defined success metrics
• Ensure the delivery of AI & machine learning systems according to roadmap and with exceptional quality
• Provide thought leadership in ideating and innovating on cutting-edge techniques from literature to improve the performance of existing solutions
• Collaborate across company leadership and partner with stakeholders to drive adoption of machine learning models, identify and remove roadblocks while minimizing risk to the business and the team
• Define and drive best practices and model development policies to ensure the feasibility, generalizability, and stability of models while ensuring verbose documentation and diagrams are maintained
• Establish and define frameworks for ensuring robust development of machine learning codebase to enable maintainable and continuous improvements with measurable business impact

• Demonstrated experience in leading data science teams with strong focus on success metrics
• Experience owning, building, and validating machine learning systems in production
• Practical experience with deep learning, computer vision, NLP and LLM/GenAI projects
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
• Proficient in programming languages such as Python and SQL
• Strong understanding of data structures, data modeling and software architecture
• Deep knowledge of probability, statistics, distributions, and analysis methods
• Have strong product/business orientation

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• TA Call
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)

Note: If you’ve already sent in your application for this position and were not selected, please re-apply after 6 months.

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

Referrals increase your chances of interviewing at MoneyLion by 2x

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia