478 Senior Data Scientist jobs in Malaysia

The Data Scientist plays a key role in driving digital transformation across our exploration and production operations. Support the InfoTech & Digitalization department and work closely with other business units to enhance data management practices, improve data accessibility, and develop digital solutions that boost productivity and reduce operational costs.

• Collaborate within the InfoTech & Digitalization department to improve data management practices, including data quality, governance, and lifecycle management.
• Analyze storage utilization and propose optimization strategies to reduce costs and improve performance.
• Develop solutions to enhance data accessibility and usability for end users across departments.
• Support the company’s digital transformation roadmap by identifying opportunities for automation, predictive analytics, and AI-driven insights.
• Evaluate and implement digital tools and platforms that align with business goals.
• Partner with departments such as Operations, Finance, and Engineering to identify pain points and co-develop digital products or dashboards that improve efficiency and reduce costs.
• Translate business needs into technical solutions using data science and analytics.
• Conduct training sessions and workshops to upskill staff in data literacy, analytics tools, and digital technologies.
• Promote a data-driven culture across the organization.

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field from a recognized institution.

• More than 3 years of hands-on experience in data science or analytics role, preferably in a complex, asset-heavy industry such as oil & gas, energy, or manufacturing.
• Proven track record of delivering data-driven solutions that improved operational efficiency, reduced costs, or enhanced decision-making.
• Experience working in cross-functional teams, collaborating with business units such as Operations, Finance, and Engineering.
• Demonstrated ability to translate business problems into analytical solutions and communicate insights to non-technical stakeholders.
• Familiarity with managing and working with large, diverse datasets from multiple sources.
• Experience in mentoring or training colleagues in data literacy or analytics tools.
• Ability to manage multiple projects simultaneously and prioritize tasks effectively.
• Comfortable working in both structured and agile environments, adapting to evolving business needs.

• Python programming for data analysis, modeling, and automation.
• SQL programming for querying and manipulating relational databases.
• Power BI for building interactive dashboards and reports.
• Machine learning techniques such as regression, classification, and clustering.
• Data wrangling and manipulation using libraries like pandas and numpy.
• Building ETL processes and data pipelines.
• Deploying models or analytics solutions into production environments.
• Knowledge of data governance, including data quality, metadata, and lifecycle management.

Infosys Federal Territory of Kuala Lumpur, Malaysia

Infosys Federal Territory of Kuala Lumpur, Malaysia

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• Development experience in one or more object-oriented programming languages (e.g. Python, Java).
• Experience working closely with other data scientists, data engineers’ software engineers, data managers and business partners.
• Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Can carry out data analyses to yield actionable business insights.
• Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.
• Applied knowledge of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of underlying mathematical foundations of statistics and machine learning.
• Development experience in one or more object-oriented programming languages (e.g. Python, Java).
• Strong software engineering and ML system design experience.
• Advanced SQL knowledge.
• Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
• Need candidate with very strong communication skills (including written)

Requirements:

• ML Modelling: Develop and evaluate statistical/ML models.
• Software Testing: Experience with testing methodologies and tools.
• Data Analysis: Proficient in data wrangling and analysis (Python, R, SQL).
• AI/ML Testing: Experience testing AI/ML models, including prompt engineering and bias detection.
• ML Systems: Design and implement ML systems; strong Python/SQL; software engineering best practices; Azure experience; excellent communication.

Responsibilities

• Part of a cross-disciplinary team, working closely with other data scientists, data engineers' software engineers, data managers and business partners.
• Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
• Carry out data analyses to yield actionable business insights.
• Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
• Present results to peers and senior management.
• Actively contribute to improve developer velocity and mentor others if needed

Qualifications

• Hands-on experience (typically 2+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
• Applied knowledge as part of a team (if not leading) of data science tools and approaches across all data lifecycle stages.
• Thorough understanding of underlying mathematical foundations of statistics and machine learning.
• Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
• Basic SQL knowledge.
• Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
• Strong stakeholder management and ability to lead large organizations through influence.
• Continuous learning and improvement mindset.
• Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
• Knowledge of experimental design and analysis is a plus.
• No prior experience in the energy industry required.
• MSc or PhD degree in a quantitative field. Preferable

Note: ONLY MALAYSIAN APPLICANTS WILL BE SHORTLISTED.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting and Oil, Gas, and Mining

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Job Responsibilities

• Participate in the design of A/B experiments and scientific evaluation mechanisms to guide product and strategy decisions in various business scenarios and enable rapid business iteration.
• Deeply involved in the underlying mechanism development of A/B testing systems, attribution systems, anomaly detection systems, etc., and provide professional data science support.
• Gain in-depth understanding of business needs and provide support and guidance for experiment analysis, anomaly attribution, and other data analysis tasks.
• Explore new experimental methods and analysis techniques using causal analysis, machine learning, and other technical means to continuously improve product capabilities.

1. Bachelor's degree or above in statistics, applied mathematics, econometrics, operations research, computer science, or related STEM or business fields (preferred);
2. Solid foundation in statistics, with a strong interest and research spirit in causal inference and experimental science;
3. Familiar with Hive, Hadoop, big data computing frameworks, proficient in SQL and Python, with more than 2 years of experience in data analysis, data mining, or machine learning projects preferred;
4. Good foundation in statistics, probability theory, and experimental design; strong data analysis and visualization skills; experience in A/B testing and attribution analysis is preferred.

About Us

At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.

IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.

We believe in integrity, trust, and transparency as part of our flexible work culture, with a strong emphasis on teamwork and the learning process, making mistakes, and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.

Our workplace is anywhere* with a fast connection whether remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz, which comes with an LRT station at its doorstep, an al fresco cafeteria, ample greenspaces, and free parking.

Task Description:

• Advising the customer on the use of AI, capturing the requirement and translating the requirement into suitable mathematical models
• Data preparation, exploratory data analysis and statistical analysis.
• Conception of labelling processes
• Selection, implementation and configuration of suitable (machine learning / semantic) models and procedures
• Conception and implementation of automated pipelines for model creation and quality assurance
• Conception and implementation of infrastructure and software to integrate AI into software products in a scalable way.
• Ensuring compliance with applicable rules in the areas of data, AI and IT security compliance
• Documentation and communication of the procedures and results in a target group-adequate form.

Responsibility and Scope for decision-making:

• Independent consulting of the customer to identify new areas of application of AI.
• Independent consulting of the customer on the use of AI, on capturing the requirement and translating the requirement into suitable mathematical models.
• Independent data preparation, exploratory data analysis and statistical analysis, conception of labeling processes.
• Independent selection, implementation and configuration of suitable (machine learning / semantic) models and procedures, also on the basis of scientific literature.
• Conception and implementation of automated pipelines for model creation and quality assurance.
• To integrate the design and implementation of infrastructure and software and AI into software products in a scalable manner.
• Independent assurance of compliance with the relevant rules from the areas of data, AI and IT security.
• Networking and sharing of knowledge and experience within the company, within the Group and beyond.

Qualifications / Experience:

• Minimum of 5 years’ working experience in a related field is required.
• Bachelor’s Degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field.
• Experience with Agile methodologies
• Experience with Enterprise technologies
• Experience with Product Oriented Teams
• Programming or Data Architecture related certification

Specific knowledge/ Skill:

• Excellent communication skills
• Good customer service orientation
• Analytical, passionate and drives technology and product quality
• Result-oriented thinking and action
• Has a broad and deep understanding of AI methods and their applicability in day-to-day operations.
• Possesses broad and constantly expanded knowledge of mathematical and formal methods with their strengths and weaknesses.
• Possesses broad and constantly expanded knowledge methods of data preparation, exploratory data analysis, data visualizations and statistical analysis.
• Ability to implement and configure machine learning / semantic models close to the state of research.
• Ability to design and implement automated pipelines for model creation and quality assurance.
• Knowledge of the conception and implementation of infrastructure to integrate software and AI into software products in a scalable way.
• Knowledge of applicable rules from the areas of data, AI and IT security compliance.
• Ability to document and communicate the procedures and results in target group-adequate form.

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

The job is to use data analysis, statistical techniques, machine learning, and domain knowledge to extract valuable insights and solve complex problems. You will work in an AGILE team to solve complex customers’ challenges. Performing data collection and cleaning, perform exploratory data analysis, develop and implement machine learning models and algorithms for predictive analytics, and deliver clear and informative data visualization.

We are part of the PathWave Manufacturing Analytics R&D team that is responsible for the growth of the Keysight businesses. The team consists of Manager, Architect, Data Engineers, Data Scientists, UI/UX Developers and DevOps Engineers. Delivering first in class software solution to our customers.

• Work with stakeholders to understand goals
• Explore ideas/solution to resolve customers’ use-cases
• Acquire and clean data
• Perform data investigation and exploratory analysis
• Identify potential model and algorithms
• Apply science techniques with test measurement techniques
• Present result to stakeholders
• Work with development team to implement data science model into PathWave Manufacturing Analytics (PMA) solution
• Work on data parser to output JSON format suitable for PMA solution

Basic Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Mathematical, or related discipline.
• 3 to 5 years’ experience in Data Scientist related roles.
• Strong organizational and project management skills.
• Experience working on different algorithms like linear regression, k-nearest neighbor, decision tree, etc.
• Knowledge of big data databases like HBase and Hive is preferred.
• Proficiency in Python & Java languages will be preferred.
• Knowledge in electronics measurement domain will be preferred.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Good team member.

Careers Privacy Statement

Keysight is an Equal Opportunity Employer.

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Appliances, Electrical, and Electronics Manufacturing

Referrals increase your chances of interviewing at Keysight Technologies.

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

About the Job:

The job is to use data analysis, statistical techniques, machine learning, and domain knowledge to extract valuable insights and solve complex problems. You will work in an AGILE team to solve complex customers’ challenges. Performing data collection and cleaning, perform exploratory data analysis, develop and implement machine learning models and algorithms for predictive analytics, and deliver clear and informative data visualization.

We are part of the PathWave Manufacturing Analytics R&D team that is responsible for the growth of the Keysight businesses. The team consists of Manager, Architect, Data Engineers, Data Scientists, UI/UX Developers and DevOps Engineers. Delivering first in class software solution to our customers.

The candidate is responsible for leveraging data to extract valuable insights, make predictions, and drive business decisions across a wide range of industries and domains. Candidate’s responsibilities require a combination of technical skills, domain expertise, and effective communication to deliver actionable results.

• Work with stakeholders to understand goals
• Explore ideas/solution to resolve customers’ use-cases
• Acquire and clean data
• Perform data investigation and exploratory analysis
• Identify potential model and algorithms
• Apply science techniques with test measurement techniques
• Present result to stakeholders
• Work with development team to implement data science model into PathWave Manufacturing Analytics (PMA) solution
• Work on data parser to output JSON format suitable for PMA solution

• Bachelor’s degree in Computer Science, Data Science, Mathematical, or related discipline.
• 3 to 5 years’ experience in Data Scientist related roles.
• Strong organizational and project management skills.
• Experience working on different algorithms like linear regression, k-nearest neighbor, decision tree, etc.
• Knowledge of big data databases like HBase and Hive is preferred.
• Proficiency in Python & Java languages will be preferred.
• Knowledge in electronics measurement domain will be preferred.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Good team member.

Careers Privacy Statement. Keysight is an Equal Opportunity Employer.

Key Responsibilities:
• Partner with Data Scientists and business partners to architect, drive design, implement diagnostic & predictive analytics solutions with Python, Power BI and/or Tableau.
• Developing and maintaining advanced analytics, dashboards, and other BI solutions.
• Build custom quantitative models by applying advanced statistical methods (e.g., causal and predictive modeling, forecasting, data mining, simulation, and/or optimization)
• Interpret results of quantitative models, identify trends and issues, and develop alternatives to support business objectives.
• Perform validation and testing of models to ensure adequacy and determine need for reformulation.
• Perform software validation and/or testing requirements and activities

Education and Experience:
• Bachelor’s Degree in in Computer Science, Engineering, Mathematics, Statistics or a related field Required
• 4 + years of experience in data science, software development, tool development, database design, analytics and dashboard creation, related work Required
• Experience working in a medical device and/or regulated industry Preferred
• Experience working in/for Supply Chain and/or Quality functions Preferred

Skills and Qualification:
• Extensive experience in developing, maintaining, and managing Python, Power BI and/or Tableau driven dashboards & analytics and working knowledge of administration/architecture.
• Good exposure to Data Warehousing system like Snowflake, Teradata, or Redshift.
• Experience in documenting data flows, business processes, power point presentations
• Solid knowledge and understanding with BI, reporting, data mining, or multi-data center applications

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Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

Responsibilities

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

Qualification

• Masters or Bachelor Degree in Computer science, data science, computer engineering, information technology, or relevant work experience and education background.
• We will also consider applicants with the equivalent combination of education, technical expertise, training, or work experience.
• Preferably minimum 3-4years of working experience in related field (Generative-AI & Chatbot).

Skills

• Required: Python, LLM, Prompt Engineering, Chatbot, Generative -AI, Augmented Reality, Computer Vision
• Added Advantage: Agentic AI and Multi-Agent architecture.
• Practical experience in application of ML and Deep Learning algorithms.

• SQL, Relational databases, Big Data platforms, AWS Redshift, PRESTO, ETL, SSIS etc.
• Some experience with web front end development: .NET, VB.NET, C#, HTML/CSS, JavaScript, NodeJS, JQuery & Angular
• Ability to learn quickly and become productive on new technologies, APIs, development languages and frameworks.
• Experience in data mining, data wrangling, and handling JSON, CSV files.
• Hands on experience with Docker, Kubernetes, Edge computing and AWS. etc
• Experience with data visualization methods (Spotfire, PowerBI, Grafana)
• The ability to problem solves and provide complex solutions with minimal supervision
• Knowledge of Agile development, SCRUM and Application Lifecycle Management
• Excellent communications and presentation skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives. A great team player.
• Self-motivated, strong ownership and ability to work independently with minimal supervision

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately toWestern Digital Ethics Helpline or email .

Join to apply for the Data Scientist role at Epergne Solutions .

Development experience in one or more object-oriented programming languages (e.g., Python, Java).

Experience working closely with data scientists, data engineers, software engineers, data managers, and business partners.

Ability to build scalable, reusable, impactful data science products, often containing statistical or machine learning algorithms, in collaboration with data and software engineers.

Proficiency in conducting data analyses to generate actionable business insights.

Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining, and documenting reliable and scalable data science products in complex environments.

Applied knowledge of data science tools and approaches across all stages of the data lifecycle.

Thorough understanding of the mathematical foundations of statistics and machine learning.

Development experience in object-oriented programming languages (e.g., Python, Java).

Strong software engineering and machine learning system design experience.

Advanced SQL knowledge.

Customer-centric and pragmatic mindset, focusing on value delivery and swift execution while maintaining attention to detail.

Excellent communication skills, including written communication.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting