Data Scientist
Linde Material Handling Ibérica, S.A.U. Barcelona
What we offer:
- The opportunity to work in the fast growing worldwide company
- Attractive remuneration based on your experience, skills and development
- The opportunity to participate in the international projects and a significant influence on company IT development
- Stable employment and social package (private medical care and other benefits)
- Extensive trainings in your area of responsibility
Tasks and Qualifications:
Your role:
- Design and develop digital solutions in the area of data analytics and machine learning to derive added value from large volumes of data for our internal and external customers
- Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms
- Evaluate and select potential technologies and execute feasibility studies (PoC)
- Participate in design workshops for prototype development and contribute technical perspectives and experience
- Collaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, product owners, designers, and software engineers
Your profile:
- Completed studies in computer science, mathematics, physics, or a comparable education
- Experience in design, implementation, and maintenance of data-intensive applications
- Knowledge and experience in several of the following areas:
- Application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning)
- Development with Python and the corresponding data science stack (esp. Pandas, NumPy, SciKit-Learn)
- Visualization of complex interrelationships with Power BI and Python (esp. Plotly, Matplotlib, Seaborn)
- Data modeling and data management, databases and database queries (e. g. SQL and NoSQL)
- Distributed systems and common big data technologies (Hadoop/data lakes, Spark/Databricks).
- Development of data pipelines with Java or Python
- Use of cloud-based platforms, ideally Azure
- Experience with agile software development methods, ideally Scrum
- Strong conceptual and analytical skills
- High degree of initiative and solution orientation
- Fluent in English, Spanish is nice to have and German is a plus
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