Explore exciting Data Scientist jobs in 225 Data Scientist jobs in Kuala Lumpur
Data Scientist
Posted 2 days ago
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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.
Job DescriptionResponsibilities
- 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 .
#J-18808-LjbffrData Scientist
Posted 4 days ago
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Job Summary
Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
About Our Digital Channels & Data Analytics (DCDA) Team
They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.
About Corporate & Investment Banking (CIB)
For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.
Key Responsibilities
Key Responsibilities
- Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
- Define AI business requirements with tangible, measurable and commercial success criteria.
- Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
- Enhance data collection methods through augmentation, normalisation, and outlier removal.
- Recommend appropriate AI solutions and train AI models.
- Deliver self-service dashboards to report on business use case and success criteria.
- Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
- Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.
- Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline.
- Predictive models, machine learning algorithms and large language models.
- Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
- Natural Language Processing (NLP).
- Python programming.
- Financial mathematics.
- Time series analysis.
- Data governance and management.
- AI regulatory compliance.
- AI techniques including quantum machine learning.
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together We
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
- Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
- Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
- Flexible working options based around home and office locations, with flexible working patterns.
- Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
- A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
- Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Banking
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#J-18808-LjbffrData Scientist
Posted 4 days ago
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Job Description
bipi Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Job Title: Data ScientistLocation: Kuala Lumpur, Malaysia
Company: Axross Pte Ltd
Type: Full-Time
About Us: At Axross, we’re building advanced HVAC AI solutions to optimise energy efficiency in industries like pharmaceuticals, semiconductors, and precision manufacturing. Our systems help manufacturers better control the production environment while reducing energy consumption, contributing to cost reductions and environmental sustainability.
We are looking for a Data Scientist who is passionate about applying data science, machine learning, and AI techniques to real-world industrial challenges. Join us in pushing the boundaries of innovation by developing intelligent systems that can drive significant energy and operational efficiencies.
Roles And Responsibilities- Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.
- Work with dynamic simulation models to predict and optimise the performance of industrial systems.
- Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.
- Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.
- Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.
- Design and evaluate experiments to test and validate model performance, ensuring alignment with energy efficiency goals.
- Continuously enhance models to improve prediction accuracy and system control.
- Present findings, analysis, and insights to both technical and non-technical stakeholders.
- Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.
- Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.
- Solid understanding of dynamic simulation models and / or digital twins for system optimization.
- Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.
- Strong analytical thinking, problem-solving skills, and attention to detail.
- Excellent communication skills with the ability to convey complex data insights to a diverse audience.
- Deep understanding and hands-on experience with predictive modelling algorithms like logistic regression, neural networks, decision trees, and heuristic models.
- Ability to work efficiently with different teams and independently learn new concepts or techniques.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- Experience in energy optimization, manufacturing, or industrial IoT projects is an advantage.
- Knowledge of reinforcement learning and control theory is highly desirable.
- The opportunity to work on cutting-edge AI projects with real-world impact.
- A collaborative and innovative work environment.
- Competitive salary and benefits.
- Career growth opportunities in a fast-growing industry focused on sustainability and innovation.
Data Scientist
Posted 4 days ago
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Job Description
Add expected salary to your profile for insights
This role supports the Head of Department in converting operational data into actionable strategic intelligence to facilitate evidence-based decision-making and impact measurement for Yayasan Peneraju's initiatives.
Job ResponsibilitiesData Analytics & Insights
Lead the development and implementation of data analysis and analytics frameworks and methodologies for the D&I department to extract meaningful insights from complex datasets.
Design and build interactive dashboards tailored to different stakeholder needs.
Conduct regular impact assessments of Yayasan Peneraju's initiatives and provide recommendations for optimization.
Work with Data Analyst to transform raw data into clear, actionable intelligence through advanced analysis techniques and visualization.
Develop predictive models to forecast programme outcomes.
Translate complex analytical findings into clear, actionable recommendations.
Strategic Planning & Implementation
Partner with the Head of Department to develop and execute data-driven strategies.
Identify trends and patterns in market data to facilitate in strategic decision-making.
Create and maintain documentation of analytical processes, methodologies, and findings.
Develop predictive models to forecast trends and potential outcomes of initiatives.
Impact Measurement & Programme Evaluation
Lead programme evaluations and impact assessment studies.
Develop statistical and insights analysis frameworks plus quantitative and qualitative metrics.
Lead in conducting deep-dive programme assessments, analyze programme effectiveness and conduct comparative benchmarking.
Develop actionable, research-backed recommendations for continuous improvement on YP’s initiatives based on best practices and talent trend analysis.
Prepare analytical reports.
Stakeholder Management
Present complex analytical findings to various stakeholders in clear, actionable formats.
Collaborate with other departments to understand stakeholder needs and provide analytical support to Head of Department.
Build and maintain relationships with external partners for data sharing and collaborative analysis.
Train and mentor team members in analytical methodologies and best practices.
Job RequirementsMaster’s or Bachelor’s Degree in Business Analytics, Data Science, Computer Science, Statistics, Economics, or related field.
Minimum 5 years’ experience in data science or analytical roles.
Proven track record in transforming complex data into strategic insights.
Experience in impact measurement and program evaluation.
Technical Skills: Data analytics and business intelligence tools (e.g., PowerBI, Superset), Advance knowledge of Microsoft Excel (e.g Excel Power Query, VBA, Macros), Statistical tools (e.g., R, SAS), SQL.
Core Competencies: Strategic thinking and analytical mindset, Stakeholder management, Problem-solving and critical thinking, Innovative thinking, Project Management, Written and verbal communication and reporting skills – Bahasa Malaysia and English, Attention to detail
Functional Competencies: Business analytics, Business impact assessment, research and measurement methodologies plus frameworks, Social impact measurement standards, tools and methodologies, Statistical analysis and modelling, Reporting writing
Unlock job insightsSalary match Number of applicants Skills match
Your application will include the following questions:
- What's your expected monthly basic salary?
- Which of the following types of qualifications do you have?
- How many years' experience do you have as a data scientist?
Non-Profit Organisations 101-1,000 employees
Yayasan Peneraju is an agency under the Ministry of Economy that focuses on the strengthening of Bumiputera's capacity building. Among the objectives of Yayasan Peneraju are to increase the quality, quantity and the relevance of Bumiputera talents in line with the government's efforts to develop Malaysia towards a high-income nation through its structured academic, TVET, professional, technology and specialist certification funding programmes.
Yayasan Peneraju is an agency under the Ministry of Economy that focuses on the strengthening of Bumiputera's capacity building. Among the objectives of Yayasan Peneraju are to increase the quality, quantity and the relevance of Bumiputera talents in line with the government's efforts to develop Malaysia towards a high-income nation through its structured academic, TVET, professional, technology and specialist certification funding programmes.
#J-18808-LjbffrData Scientist
Posted 4 days ago
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Job Description
bipi Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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bipi Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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This range is provided by bipi. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$2,000.00/yr - $,000.00/yr
Job Title: Data Scientist
Location: Kuala Lumpur, Malaysia
Company: Axross Pte Ltd
Type: Full-Time
About Us
At Axross, we’re building advanced HVAC AI solutions to optimise energy efficiency in industries like pharmaceuticals, semiconductors, and precision manufacturing. Our systems help manufacturers better control the production environment while reducing energy consumption, contributing to cost reductions and environmental sustainability.
We are looking for a Data Scientist who is passionate about applying data science, machine learning, and AI techniques to real-world industrial challenges. Join us in pushing the boundaries of innovation by developing intelligent systems that can drive significant energy and operational efficiencies.
Roles And Responsibilities
- Develop and implement advanced machine learning models (e.g., reinforcement learning, supervised learning) for real-time optimization of HVAC systems.
- Work with dynamic simulation models to predict and optimise the performance of industrial systems.
- Analyse large datasets, including plant and environmental data such as temperature, humidity, and energy consumption metrics.
- Build and refine predictive models for energy demand forecasting and optimise control strategies across different industrial applications.
- Collaborate with cross-functional teams (AI engineers, product managers) to deploy models in production environments.
- Design and evaluate experiments to test and validate model performance, ensuring alignment with energy efficiency goals.
- Continuously enhance models to improve prediction accuracy and system control.
- Present findings, analysis, and insights to both technical and non-technical stakeholders.
- Have at least 2 years experience with ETL processes and model optimization techniques like feature selection, hyper-parameter tuning, and model validation.
- Proficient in programming languages like Python, R, or Java, with a strong foundation in designing algorithms using various data structures.
- Solid understanding of dynamic simulation models and / or digital twins for system optimization.
- Experience with cloud platforms (e.g., Microsoft Azure, AWS) for deploying AI models.
- Strong analytical thinking, problem-solving skills, and attention to detail.
- Excellent communication skills with the ability to convey complex data insights to a diverse audience.
- Deep understanding and hands-on experience with predictive modelling algorithms like logistic regression, neural networks, decision trees, and heuristic models.
- Ability to work efficiently with different teams and independently learn new concepts or techniques.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- Experience in energy optimization, manufacturing, or industrial IoT projects is an advantage.
- Knowledge of reinforcement learning and control theory is highly desirable.
- The opportunity to work on cutting-edge AI projects with real-world impact.
- A collaborative and innovative work environment.
- Competitive salary and benefits.
- Career growth opportunities in a fast-growing industry focused on sustainability and innovation.
- Seniority level Entry level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Internet Marketplace Platforms
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#J-18808-LjbffrData Scientist
Posted 7 days ago
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Job Description
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.
KEY ACCOUNTABILITIES
- 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.
REQUIREMENTS AND QUALIFICATIONS
Education:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or related field from a recognized institution.
Working experience:
- 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.
Technical skills:
- 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
Data Scientist
Posted 7 days ago
Job Viewed
Job Description
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.
KEY ACCOUNTABILITIES- 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.
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Data Scientist
Posted 8 days ago
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Infosys Federal Territory of Kuala Lumpur, Malaysia
Data ScientistInfosys Federal Territory of Kuala Lumpur, Malaysia
Direct message the job poster from Infosys
- 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- 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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#J-18808-LjbffrData Scientist
Posted 23 days ago
Job Viewed
Job Description
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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#J-18808-LjbffrData Scientist
Posted today
Job Viewed
Job Description
We are seeking a highly skilled and motivated Data Scientist with hands-on experience in Google Cloud Platform (GCP) services, particularly Vertex AI, BigQuery, and Gemini. The ideal candidate will have a strong foundation in Python, SQL, and machine learning techniques, and will be responsible for designing, developing, and deploying data-driven solutions that drive business insights and innovation.
Key Accountabilities:
- Assist in preparing and cleaning raw data for use in analytical models.
- Support the design, development, and deployment of machine learning models using tools such as Vertex AI and Gemini.
- Conduct exploratory data analysis and create visualizations to derive actionable business insights.
Work on experimentation and model training for projects such as:
Generative AI assistants and summarization
Lookalike audience models for targeting
Content recommendation engines
Natural language–driven chatbots - Collaborate with data engineers and product managers to bring prototypes into production environments.
- Help monitor and evaluate model performance and iterate based on feedback and results.
Continuously learn and explore new tools and frameworks within the Google Cloud ecosystem - Qualifications:
3 to 5 years of experience in a data science, analytics, or machine learning–related role. - Working knowledge of:
- Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy)
- Google Cloud Platform (GCP) services (especially Vertex AI, BigQuery, Gemini)
- Basic ML algorithms and data modeling techniques
- Familiarity with machine learning concepts such as classification, clustering, regression, recommendation, and NLP.
- Hands-on experience with any cloud-based ML or AI platform (Vertex AI preferred).
- Knowledge of Generative AI and LLM-based applications is a strong advantage.
- Degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong analytical thinking and attention to detail.
- Self-starter with the ability to work independently and with minimal guidance in a lean team environment.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Comfortable working in a fast-paced and collaborative environment
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