The IT Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.

• Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
• Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
• Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
• Apply theoretical knowledge to solve industrial problems.
• Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
• Collaborate with field and product engineers to identify key health monitoring parameters of a system.
• Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines.
• Communicate ideas, plans and results effectively via oral and written reports.

Qualifications and Requirements

• Aptitude to independently learn new technologies, prototype, and propose solutions

• Excellent programming skills (preferably Python)

• Good knowledge of Linear Algebra, Probability & Statistics

• Good knowledge of key Machine Learning & Deep Learning algorithms including GenAI

• Experience in a Unix/Linux environment for automating processes with shell scripting

• Basic Understanding of Cloud Computing & Application Development

Behavioural Skills:

• Creativity and ability to formulate problems and solve them independently

• Highly collaborative work style

• Strong listening and communications skills

• Presenting & communicating information

• Result and quality focused

Good to have:

• Experience on TensorFlow/ PyTorch for computer vision / speech / natural language processing applications.

• Experience working in Cloud, preferably Google Cloud Platform or Azure is a plus.

• Hands on experience of designing or building RESTful APIs is a plus

• Experience in web frontend development (with JavaScript, HTML5), frontend web frameworks (Angular)
  and backend web frameworks (Django, FastAPI) is a plus