Data Scientist for AI Products - Americas

It's about Being What's next. What's in it for you?

You will be a member of the Digital Americas organization. Digital Americas is a multi-disciplinary technical team comprised of data scientists, software engineers and operations research experts. The team serves Linde business units and is tasked with creating analytics and decision support systems that deliver solutions for challenging problems across operations, supply chain and business process.

At Linde, employees can enjoy a range of benefits that make the workplace comfortable and enjoyable. These include loyalty offers, annual leave, an on-site eatery, employee resource groups, and teams that provide support and foster a sense of community. These benefits demonstrate Linde's commitment to creating a positive work experience for its employees.

Every day is an opportunity: an opportunity to learn, to grow, to share success, and to contribute to one of the world’s leading industrial gas and engineering companies. Seize the opportunity: take your next step with us and join our team.

Linde values diversity and recognizes the importance of fostering inclusion in our work environment. We believe that our success depends on the diverse perspectives of our employees, customers, and global markets. As an employer of choice, we strive to support our employees' growth, welcome new ideas, and respect our differences.

Team

Making an impact. What will you do?

• As a Data Scientist AI you will support Linde’s Digital Americas team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain
• You will work directly with a variety of different data sources, types and structures to derive actionable insights
• Develop, customize and manage AI software products based on Machine and Deep Learning backends will be your primary tasks
• Your role includes strong support on replication of existing products and pipelines to other systems in the Americas
• In addition to that you will support in architectural design and defining data requirements for new developments
• It will be your responsibility to interact with business functions in identifying opportunities with potential business impact and to support development and deployment of models into production
  
  

Winning in your role. Do you have what it takes?

• You have a Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field
• Further to that you have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts
• You gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data
• You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets
• Preferably you have work experience in an engineering or technology role
• You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels etc.) to the role
• You have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e.g. with Tableau or PowerBI
• Result driven mindset and excellent communication skills with high social competence gives you the ability to structure a project from idea to experimentation to prototype to implementation
• Very good English skills are required
• As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar.
• Working-hour flexibility to overlap with Americas time zones for real-time interaction and efficient delivery execution.
  
  

Why you will love working for us!

Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. We live our mission of making our world more productive every day by providing high-quality solutions, technologies and services which are making our customers more successful and helping to sustain and protect our planet.

On the 1st of April 2020, Linde India Limited and Praxair India Private Limited successfully formed a joint venture, LSAS Services Private Limited. This company will provide Operations and Management (O&M) services to both existing organizations, which will continue to operate separately. LSAS carries forward the commitment towards sustainable development, championed by both legacy organizations. It also takes ahead the tradition of the development of processes and technologies that have revolutionized the industrial gases industry, serving a variety of end markets including chemicals & refining, food & beverage, electronics, healthcare, manufacturing, and primary metals.

At Linde, the sky is not the limit. If you’re looking to build a career where your work reaches beyond your job description and betters the people with whom you work, the communities we serve, and the world in which we all live, at Linde, your opportunities are limitless. Be Linde. Be Limitless.

Have we inspired you? Let's talk about it!

We are looking forward to receiving your complete application (motivation letter, CV, certificates) via our online job market.

Any designations used of course apply to persons of all genders. The form of speech used here is for simplicity only.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity or expression, or any other reason prohibited by applicable law.

Praxair India Private Limited acts responsibly towards its shareholders, business partners, employees, society and the environment in every one of its business areas, regions and locations across the globe. The company is committed to technologies and products that unite the goals of customer value and sustainable development.