92 AI Ml Engineer jobs in Malaysia

Join to apply for the AI/ML Engineer role at Horizontal Talent

Join to apply for the AI/ML Engineer role at Horizontal Talent

Job Title: AI/ML Engineer

Work Arrangement: Hybrid

Location: Kuala Lumpur, Malaysia

About Horizontal: Established since 2003 in the US, Horizontal solves complex challenges across two distinct businesses: Horizontal Digital and Horizontal Talent. We are consistently recognized for being a top workplace and one of the fastest growing private companies. Horizontal Talent specializes in staffing for IT, Digital & Creative and Business & Strategy markets. We have global offices in US, UAE, India, Malaysia and Australia.

Our Client is seeking a talented and exceptional Machine Learning Engineer who wants to make a difference in the world, has a strong drive for continuous learning and development, is open and collaborative, and never stops striving to improve themselves and the products or services they are responsible for. You will be responsible for developing and optimizing advanced machine learning (ML) models across various domains, including natural language processing (NLP), computer vision, and speech processing. This role requires broad expertise in large language models and diffusion models, with experience in ASR systems to support our comprehensive data analytics platform.

Key Responsibilities

• Design, implement, and fine-tune Large Language Models (LLMs) for various NLP tasks, including text classification, entity extraction, sentiment analysis, and conversational AI applications.
• Develop and optimize diffusion models for generating synthetic data, augmenting data, and creating multimodal content to enhance training datasets.
• Build and maintain end-to-end machine learning pipelines for text processing, speech recognition, and multimodal data analysis.
• Implement state-of-the-art transformer architectures and attention mechanisms for various sequence modeling tasks across different data modalities.
• Research and integrate cutting-edge ML techniques, including few-shot learning, transfer learning, and multi-task learning approaches.
• Collaborate with engineering teams to deploy ML models in production environments, ensuring scalability and reliability.
• Develop custom training strategies, loss functions, and evaluation frameworks for domain-specific applications in telecommunications and government sectors.
• Optimize model performance, inference speed, and resource utilization for deployment across various hardware configurations.
• Conduct comprehensive model evaluation, A/B testing, and performance monitoring to ensure continuous improvement.
• Create technical documentation, research reports, and best practice guidelines for ML development processes.
• Mentor junior team members and contribute to the advancement of ML practices across the organization.
  
  

Required Qualifications

• Advanced degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field.
• 4+ years of experience in machine learning engineering with a focus on deep learning and neural networks.
• Strong proficiency in Python and extensive experience with PyTorch, TensorFlow, and the HuggingFace ecosystem.
• Demonstrated expertise with Large Language Models including GPT, BERT, T5, LLaMA, and similar transformer-based architectures.
• Hands-on experience with diffusion models such as Stable Diffusion, DDPM, DDIM, or similar generative modeling techniques.
• Experience with ASR (Automatic Speech Recognition) systems and speech processing pipelines, including models like Whisper, Wav2Vec2, or similar technologies.
• Solid understanding of natural language processing techniques, including tokenization, embeddings, attention mechanisms, and sequence modeling.
• Experience with parameter-efficient fine-tuning methods, including LoRA, QLoRA, AdaLoRA, and other PEFT techniques.
• Knowledge of distributed training, model parallelism, and large-scale data processing frameworks.
• Familiarity with MLOps practices, model deployment, and production monitoring systems.
• Strong mathematical foundation in statistics, linear algebra, and optimization theory.
  
  

Technical Skills

• Programming Languages: Expert-level Python; proficiency in C/C++, JavaScript, or Julia for performance optimization.
• Deep Learning Frameworks: Advanced experience with PyTorch, TensorFlow, JAX, and HuggingFace Transformers.
• LLM Technologies: Extensive knowledge of transformer architectures, attention mechanisms, tokenizers, and model scaling techniques.
• Generative Models: Hands-on experience with diffusion models, VAEs, GANs, and other generative modeling approaches.
• Fine-Tuning Techniques: Proficiency with LoRA, QLoRA, prefix tuning, prompt tuning, adapters, and instruction tuning methodologies.
• NLP Libraries: Experience with spaCy, NLTK, Gensim, sentence-transformers, and domain-specific NLP tools.
• Speech Processing: Familiarity with librosa, torchaudio, SpeechBrain, and audio processing pipelines.
• Model Optimization: Knowledge of quantization, pruning, distillation, ONNX, TensorRT, and inference optimization.
• Data Processing: Expertise in pandas, NumPy, Apache Spark, Dask, and distributed computing frameworks.
• MLOps Tools: Experience with Docker, Kubernetes, MLflow, Weights & Biases, Ray, and cloud ML platforms.
• Proficient in version control using Git, DVC, and collaborative ML development workflows.
  
  

Preferred Qualifications

• Experience with multimodal learning combining text, audio, and visual data modalities.
• Knowledge of reinforcement learning from human feedback (RLHF) and constitutional AI approaches.
• Familiarity with federated learning and privacy-preserving machine learning techniques.
• Experience with real-time inference systems and streaming data processing.
• Understanding of model interpretability, explainable AI, and bias detection methodologies.
• Knowledge of graph neural networks and knowledge graph embedding techniques.
• Experience with AutoML frameworks and neural architecture search (NAS).
• Contributions to open-source ML projects or published research in top-tier conferences.
• Experience with edge deployment and mobile optimization for ML models.
• Understanding of cybersecurity applications and adversarial machine learning.
  
  

Personal Attributes

• Exceptional problem-solving skills and ability to approach complex ML challenges from first principles.
• Strong research mindset with the ability to stay current with the rapidly evolving ML/AI landscape.
• Excellent communication skills, both written and verbal, with the ability to explain complex concepts to diverse audiences.
• Self-driven and proactive, with a passion for pushing the boundaries of machine learning technology.
• Adaptable and open-minded, able to work effectively across different problem domains and data modalities.
• Collaborative team player with experience working in cross-functional environments.
• Strong attention to detail with commitment to reproducible and ethical AI practices.
  
  

Additional Information

• Language: Fluent oral and written English is mandatory.
• Good interpersonal skills
• Excellent organizational skills
• Team player but able to work on own initiative
• Good written and oral communication skills
• Enthusiastic, self-starter and highly self-motivated
• Appreciation of cultural differences
• Attention to detail
• Travel: Occasional travel may be required for conferences, client meetings, or inter-office collaboration.

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Staffing and Recruiting

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As an AI & Machine Learning Engineer, your responsibility will include proposing and developing innovative solutions for our business problems using AI and ML frameworks.

Who Are We?

CompAsia is a digital and technology company that provides end-to-end solutions for certified pre-owned devices focusing on the mobile phone life-cycle value chain. Our focus is on delivering a mobile phone lifecycle experience not limited to Trading, Financing and Insurance.

What Role Will You Play in Shaping CompAsia's Future?

• Design, develop and enhance our object/defect detection models with primary focus on accuracy, precision, and recall.
• Collaborate closely with cross-functional teams, including stakeholders, software engineers, and domain experts to understand project requirements and business objectives.
• Heavily involve in R&D work and fast prototyping of new models.
• Conduct in-depth analysis of model performance, identify areas for improvement, and implement strategies to enhance the overall accuracy of the object detection system.
• Utilize advanced machine learning techniques, such as hyperparameter tuning, transfer learning, and ensemble methods, to optimize and fine-tune existing models.
• Stay abreast of the latest advancements in object detection algorithms and contribute to the adoption of state-of-the-art methodologies to improve model capabilities.
• Design and implement scalable and efficient machine learning pipelines for data preprocessing, model training, and deployment.
• Work on the deployment strategies of the enhanced object detection model, ensuring seamless integration into production environments.
• Collaborate with stakeholders to communicate complex technical concepts and findings in a clear and understandable manner.
• Understand company challenges and how integrating AI capabilities can help lead to solutions.

What Qualifications and Experience Will You Bring to Excel in This Role?

• Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, Data Science, or a related field.
• Proven experience in developing and enhancing object detection models / defect detection models, with a focus on achieving higher accuracy.
• Strong programming skills in languages such as Python and proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Keras - CNN).
• Exposure to GenAI development will be advantageous.
• Solid understanding of computer vision concepts, image processing, and feature extraction techniques.
• Experience with data preprocessing, annotation, and augmentation for object detection tasks.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a dynamic team environment.
• Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

#J-18808-Ljbffr

As an AI & Machine Learning Engineer, your responsibility will include proposing and developing innovative solutions for our business problems using AI and ML frameworks. Who Are We? CompAsia is a digital and technology company that provides end-to-end solutions for certified pre-owned devices focusing on the mobile phone life-cycle value chain. Our focus is on delivering a mobile phone lifecycle experience not limited to Trading, Financing and Insurance. What Role Will You Play in Shaping CompAsia's Future? Design, develop and enhance our object/defect detection models with primary focus on accuracy, precision, and recall. Collaborate closely with cross-functional teams, including stakeholders, software engineers, and domain experts to understand project requirements and business objectives. Heavily involve in R&D work and fast prototyping of new models. Conduct in-depth analysis of model performance, identify areas for improvement, and implement strategies to enhance the overall accuracy of the object detection system. Utilize advanced machine learning techniques, such as hyperparameter tuning, transfer learning, and ensemble methods, to optimize and fine-tune existing models. Stay abreast of the latest advancements in object detection algorithms and contribute to the adoption of state-of-the-art methodologies to improve model capabilities. Design and implement scalable and efficient machine learning pipelines for data preprocessing, model training, and deployment. Work on the deployment strategies of the enhanced object detection model, ensuring seamless integration into production environments. Collaborate with stakeholders to communicate complex technical concepts and findings in a clear and understandable manner. Understand company challenges and how integrating AI capabilities can help lead to solutions. What Qualifications and Experience Will You Bring to Excel in This Role? Bachelor's/Master's/Ph.D. degree in Computer Science, Machine Learning, Data Science, or a related field. Proven experience in developing and enhancing object detection models / defect detection models, with a focus on achieving higher accuracy. Strong programming skills in languages such as Python and proficient in machine learning frameworks (e.g., TensorFlow, PyTorch, Keras - CNN). Exposure to GenAI development will be advantageous. Solid understanding of computer vision concepts, image processing, and feature extraction techniques. Experience with data preprocessing, annotation, and augmentation for object detection tasks. Excellent problem-solving skills and the ability to work independently and collaboratively in a dynamic team environment. Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

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As an AI engineer or an ML engineer, you need to perform certain tasks, such as develop, test, and deploy image classification, image recognition and NLP models through Python programming and deep learning algorithms such as Neural Network, Efficient Net, Transformers and any others algorithms. Responsibilities: Research on SOTA literature & publicised papers, sustainable models and architecture design Mainly focus on building image and object recognition models, NLP models. Build AI models from scratch and collaborate with experts such as data scientists, coders, programmers and other stakeholders. Perform data statistical analysis and interpreting findings and results to generate insights for organisation's decision-making Automating critical tasks and procedures for a data science team Be a good team player, collaborate with the team in our fast-paced, agile environment, explore new possibilities for better product quality, and succeed with the team. Converting machine learning models into APIs with which other apps may interact Communicate with various stakeholders, understand and solve their pain points Qualifications and Skills: BSc / MSc in AI, computer science, physics or a similar field or relevant experience Strong logical thinking and python skills. Strong passion to learn and explore ML/AI algorithms. Experienced in python project coding, optimization, designing, testing and debugging. Experienced in support daily BAU tasks, project enhancement, system maintenance, and R&D project. Hands on experience in using ML libraries such as Tensorflow, Transformers, PyTorch, Keras. Experienced in new project development cycle Experienced in Dataiku platform Good to have: Experienced in ML/AI project development, training and maintain model performance monitoring. Familiar with algorithms such as supervised, semi-supervised, unsupervised and reinforcement. Familiar with NLP language model and algorithms. Familiar with Docker and UNIX working system. Familiar with REST APIs, version control systems-GIT and UI/UX principles. Familiar with popular SOTA ML/AI models Familiar with Transformer based models

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About us

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

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

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

Your Contribution

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

Your Profile

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

Your Benefits

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

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

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

Contact Us

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

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

#J-18808-Ljbffr

Company Description

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

Job Description

About the job

As the world's largest research organization, Nielsen IQ is powered by talented creative scientists. Our Data Scientist Business Leaders come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.

Responsibilities

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

Qualifications

About you

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

Qualifications

• Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets.
• 5+ years of experience in market research or relevant field
• Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market.
• Passionate about innovation and technology
• Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business.
• Innovative mindset, creativity, thinking out-of-the-box.
• Good ability to effectively convey complex concepts to non-experts.
• Strong Problem-Solving skills
• Intellectual curiosity and persistence to find answers to questions.
• Great collaborative and interpersonal skills to communicate at all levels.
• Ability to set priorities.
• Good leadership and people manager’s skills
• Business acumen, consultative skills and empathy for clients.
• Great command of written and spoken English
• Eager to continuously learn and adapt to changing technologies and tools.
• Good ability to make decisions and successfully manage multiple assignments concurrently in a high-pressure environment.
  • Analytical and Technical skills:
  • Solid understanding of Statistics
  • Strong aptitude for data analysis.
  • Solid critical/ logic thinking.
  • Business acumen, finance and budgeting knowledge
  • Experienced in data visualization tools (e.g: Power BI, Spotfire, Tableau)
  • Experienced with programming languages such as Python and R.

Good to Have

• Familiar with Nielsen systems/products. (for internal-it is required)
• Familiar with Machine Learning
• Working knowledge with data visualization tools (e.g., Spotfire, Tableau, etc) and mapping tools.
• Working experience with contemporary database systems.
• Familiarity with marketing analytics, including designing experiment and consumer behavior analysis.
• Familiar with Project Management .
• Experience in leading people will be added advantage.

Additional Information

• Exciting work environment that brings people together.
• Use the latest digital technologies.
• Ongoing trainings to support your development.
• Opportunities for personal and professional growth.
• Hybrid work

Our Benefits

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

About NIQ

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

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on:LinkedIn |Instagram |Twitter |Facebook

Our commitment to Diversity, Equity, and Inclusion

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

#J-18808-Ljbffr

Company Description

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

Job Description

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

Qualifications

About you

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

Qualifications

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

Good to Have

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

Additional Information

Benefits:

• Exciting work environment that brings people together.

• Use the latest digital technologies.

• Ongoing trainings to support your development.

• Opportunities for personal and professional growth.

• Great compensation linked to individual performance and company results.

• Hybrid work

Our Benefits

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

About NIQ

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

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on:LinkedIn |Instagram |Twitter |Facebook

Our commitment to Diversity, Equity, and Inclusion

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

#J-18808-Ljbffr

About us With a product portfolio of over 120 optical glasses, ceramic converters, high-precision optical components and wafers, SCHOTT's business unit Advanced Optics develops customized solutions for applications in optics, lithography, astronomy, opto-electronics, life sciences, research, and more. Beyond that, we are serving augmented reality innovators worldwide as the leading provider of waveguide materials, leveraging our international production network and engineering hubs in Germany, Switzerland, China, and Malaysia to enable the emerging Metaverse. As we are fully committed to bringing augmented reality technology to the public, we are currently expanding our manufacturing capacity in Malaysia. You want to be part of it? Then apply now. Your Contribution

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

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

SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential. At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company. Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events. Contact Us

Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang +86512680959896101. *At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.

#J-18808-Ljbffr

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

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

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

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