Description
Job Summary
pJoin the Digital Americas team at Linde as a Data Scientist, where you will support the development and deployment of AI products across various use cases. This role involves working with diverse data sources to derive actionable insights using machine learning techniques and contributing to architectural design for new developments.
Responsibilities
- Supporting the development and customization of AI software products based on machine and deep learning backends
- Preprocessing, feature engineering, and data cleansing on real-world datasets
- Interacting with business functions to identify opportunities for AI solutions with potential business impact
- Maintaining existing products and pipelines in the Americas region
Required Skills
- Machine learning
- Data preprocessing
- SQL and large data sets handling
- Python programming
- Data visualization with Tableau or PowerBI
Required Skills Explained
- Bachelor or Masters Degree in Data Science, Computational Statistics/Mathematics, Computer Science, Operations Research or related field.
- Strong understanding of Multivariate Statistics, Machine Learning and Probability concepts.
- Experience with articulating business questions using quantitative techniques to arrive at solutions with available data.
- Hands-on experience with preprocessing, feature engineering, feature selection, and data cleansing on real-world datasets.
- Solid background in Python and handling large data sets using SQL (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels).
- Knowledge of data architectures and practical experience in visualizing large datasets with tools like Tableau or PowerBI.
- Result-driven mindset and excellent communication skills with high social competence for project structuring from idea to implementation.
Who is this for
pThis role is ideal for individuals with a strong background in Data Science, Machine Learning, and an interest in applying these skills to real-world business problems. Experience in AI product development and a hands-on approach are key.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge AI products and solutions that impact various aspects of business operations, supply chain, and more across Linde’s value chain.liA chance to collaborate with diverse teams including data scientists, software engineers, and operations research experts within the Digital Americas organization.liAccess to a wide range of benefits that promote work-life balance and employee well-being such as loyalty offers, annual leave, on-site eateries, and employee resource groups.liPart of a global company known for innovation, sustainability, and commitment to making the world more productive through high-quality solutions, technologies, and services.
Interview Preparation Tips
- Prepare examples from past experiences that demonstrate your skills in data preprocessing, feature engineering, and machine learning model development.
- PRACTICE explaining complex technical concepts in a clear and concise manner to showcase your communication abilities.
- Be ready to discuss real-world applications of AI products and how you have contributed or supported their development.
- Prepare questions about the team’s projects and processes to show genuine interest and engagement.
Career Growth in This Role
pAs a Data Scientist at Linde, there are numerous opportunities for career advancement within the Digital Americas organization. The role offers deep dives into AI product development across multiple industries, making it a rich ground for acquiring new skills and expertise. Success in this position can lead to roles in leadership or specialized technical areas like advanced machine learning research, data architecture, or DevOps. Additionally, Linde’s commitment to innovation and sustainability provides opportunities to innovate and make significant contributions to the company's mission.pThe collaborative environment fosters growth through continuous learning and interaction with experts from various disciplines, ensuring that professionals can expand their skill sets and take on more complex challenges over time. Furthermore, Linde’s global presence offers potential for international exposure and career mobility within the organization.
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Skills
Frequently Asked Questions
What are the key responsibilities of this role?You will work with various data sources, preprocess and engineer features, develop machine learning models, and collaborate with business teams.
Is prior experience in DevOps required?While not mandatory, having hands-on experience with DevOps tools like MS Azure or MLflow is a plus.
What benefits does Linde offer?Linde offers loyalty programs, annual leave, on-site eatery, employee resource groups, and a supportive community environment.
