Data Scientist for Ai Products

**Praxair India Private Limited | Business Area**: Digitalisation
Data Scientist for AI Products (Global)
**Bangalore, Karnataka, India | Working Scheme**: On-Site | Job Type: Regular / Permanent / Unlimited / FTE | Reference Code: req23348
It's about Being What's next.
What's in it for you?
A Data Scientist for AI Products (Global) will be responsible for working in the Artificial Intelligence team, Linde's AI global corporate division engaged with real business challenges and opportunities in multiple countries. Focus of this role is to support the AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain. You'll collaborate across different business and corporate functions in international team composed of Project Managers, Data Scientists, Data and Software Engineers in the AI team and others in the Linde's Global AI team. As a Data Scientist AI, you will support Linde’s AI team with extending existing and building new AI products for a vast amount of uses cases across Linde’s business and value chain"
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.
Making an impact. What will you do?
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 tasks
Your role includes strong support on replication of existing products and pipelines to other systems and geographies
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 master’s degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field
You have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning and Probability concepts
Further, 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
In addition 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 language 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
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.
Whatever you seek to accomplish, and wherever you want those accomplishments to take you, a career at Linde provides limitless ways to achieve your potential, while making a positive impact in the world. Be Linde. Be Limitless.
Have we inspired you? Let's talk about it
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, prote