Job Description

ALBS is an Air Liquide entity in Kuala Lumpur, regrouping for the APAC scope its Business Service Centers (Kuala Lumpur and Shanghai) as well as the two Global Functions (IT, Digital and Procurement). Designed to derive optimal value by better leveraging technology, people and competencies, the ultimate goal is to boost efficiency and deliver outstanding and sustainable performance while keeping a strong focus on customer centricity. This Organization is striving for excellence, adopting the Best in Class models to deliver value through simplification and standardization of processes, while adhering to Internal controls and compliance requirements.

We are looking for a Data Scientist who will support our business with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for business optimization and using models to test the effectiveness of different courses of action. You will work closely with data scientists, software engineers, and other stakeholders to design, build, and optimize data pipelines, models, and algorithms.

How will you CONTRIBUTE and GROW?

• Participate in AI /Machine learning or Data Science proof of concept (PoC) projects for the APAC digital team.
• As part of Agile delivery team to work closely with the cross-functional scrum teams during each PoC to frame the business problems and discover business value through the prototyping process.
• Implement solutions to solving the business challenges effectively to business stakeholders
• Develop data science or AI/ML models.
• Run machine learning and data science tests and experiments
• Study and transform data science prototypes
• Able to support chatbot, supply chain optimization, predictive maintenance deployment
• Select appropriate datasets and data representation methods
• Perform statistical analysis and fine-tuning using test results
• Develops web application prototypes hosted in AWS cloud
• Designing and engineering the features required to maintain the data science model in a MLOps and DevOps way of working with CI/CD in place ensuring the tool is supportable and maintainable in production version when it's industrialized

Are you a MATCH?

Bachelor's or master's degree in Computer Science, Data Science, or a related field.

Solid programming skills in languages like Python, R, NodeJS, Angular Typescript with experience in data manipulation, scripting, and automation.

Good understanding of data structures, data modeling and software architecture.

Experience using statistical computer languages (Python, R, SLQ, etc.) to manipulate data and draw insights from large data sets.

Knowledge of a variety of machine learning techniques, including Linear Regression, Decision Trees, Random Forest, Deep Learning, etc.

Strong problem solving skills with an emphasis on data science and product development.

About Air Liquide

A world leader in gases, technologies and services for Industry and Health, Air Liquide is present in 78 countries with approximately 64,500 employees and serves more than 3.8 million customers and patients. Oxygen, nitrogen and hydrogen are essential small molecules for life, matter and energy. They embody Air Liquides scientific territory and have been at the core of the companys activities since its creation in 1902.

Our Differences make our Performance

At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.

We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.

Air Liquide