Data Science & Engineering
The most advanced predictive analytics solutions effectively unify cutting-edge AI methods and specific process expertise. Your engineering background is a crucial ingredient to contextualize data and improve the effectiveness of our AI solutions. You'll be tasked in developing methods to ingest that knowledge into our machine learning algorithms.
LOCATION
Sarnen / Aachen
EMPLOYMENT TYPE
Bachelor's/Master's Thesis
Your Role:
As we grow, we're searching for driven student workers eager to join our technical team. You will collaborate closely with our CTO in the following tasks and recieve excellent guidance in your journey to becoming a backend & devops engineer:
Perform a practical study on available types of domain knowledge relevant to data-driven predictive maintenance analytics and develop/refine concepts on embedding this knowledge in data-driven solutions.
Implement and evaluate different techniques on real-world datasets.
Provide ready-to-integrate modules for our predictive analytics engine based on your results.
Your Profile:
Educational Background: Pursuing a degree Computer Science, or related field.
Frontend Development: Interest in UI/UX-design and familiarity with frontend development.
Adaptability: Comfortable in fast-paced environments with the aptitude to learn quickly and pivot tasks when required.
Initiative: Willingness to take ownership of tasks, from conception to deployment, and drive projects forward.
Skills:
Proficiency in Python and experience with relevant tools for data analytics, such as Pandas, PyTorch, and SkLearn.