Data Scientist
Job Profile
Data scientist responsible for developing training AI/ML models and implementing in production environment.
Main Responsibilities:
- Development of machine learning models for time series data to predict future events
- Development of AI solutions in apron projects
- Application of statistical methods to evaluate the accuracy of predictive analyses and to optimize decisions
- Implementation of models in the production environment or in series products.
- Selecting a suitable implementation environment (cloud edge or embedded) based on the context of the application and the requirements for the AI model
Desired Qualification and Experience
Qualification: (Computer Science or equivalent)
Experience: Overall Experience (3-4) 2years in Data science
Knowledge and Capabilities:
Mandatory / Primary Skills:
- Experience in the deep learning environment in various applications
- Sound knowledge of Python and other AI-relevant languages
- Familiarity with the use of data science tools (e.g. Pandas NumPy SciPy scikit-learn Matplotlib)
- Basic Experience in SQL Database concepts (SQL MongoDB)
Desired / Secondary Skills
- Experience in working on Distributed Control Systems (DCS) Communication protocols and OPC concepts in industrial automation domain.
- Practical knowledge/general experience: software design software development.
Good to have C knowledge