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Job title: Data Scientist for AI products (Global)
Location: Bengaluru, India
Are you ready to take the lead
Leading global industrial gases and engineering company that provides high-quality solutions
and services to a variety of end markets, including chemicals & energy, food & beverage, electronics, healthcare, manufacturing, metals, and mining. Industrial gases are used in countless applications, from life-saving oxygen for hospitals to high-purity & specialty gases for electronics manufacturing, hydrogen for clean fuels and more also delivers state-of-the-art gas processing solutions to support customer expansion, efficiency improvements, and emissions reductions.
What you will enjoy doing
• As a Data Scientist AI you will support AI team with extending existing and building
new AI products for a vast amount of uses cases across 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 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
You'll be working in the Artificial Intelligence team,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 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 Global AI team.
What Makes You Great
• 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
• 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
Preferred Qualifications:
• Experience working with data scientists, ML engineers, and developers.
• Familiarity with IT administration and data security practices.
• Knowledge of stakeholder management in large, international organizations.
Job ID: 113429291
Skills:
Nlp, Machine Learning, Pandas, Numpy, MLops, Python, scikit-learn, Go
Skills:
Numpy, Pandas, Pytorch, Gcp, Docker, Azure, Python, AWS, scikit-learn
Skills:
Machine Learning, Statistical Modeling, Data analysis tools and techniques
Skills:
Machine Learning, Artificial Intelligence, Econometrics, Data Analysis, data analysis tools and techniques, Statistical Modeling
Skills:
Machine Learning, Pandas, Pytorch, MySQL, Flask, Azure, Python, Sql, Deep Learning, scikit-learn