Are you able to foresee upcoming issues?
Are you able to predict events happing in the future?
Is your ability based on your excellent data analytic skill set rather than on magic?
Then you should join our AI team, which is going to revolutionize our development and production environment by applying Data Harvesting, Data Modelling and sophisticated Data Science and Machine Learning methods to reach the next level of excellence.
We are building a strongly collaborating AI team with all members bringing solid knowledge on working with data in a Cloud Environment and how to prepare data for further AI processing.
Each team member has individual competences strengthening the whole AI team, like :
Data Scientists, with the ability to apply probability theory (including distribution analysis, conditional probabilities, independence, Bayes theorem, etc.
statistics (including hypothesis testing, bias / variance trade-offs, mean, variance, and mode) and data analysis (including pre-processing, visualization and metrics such as accuracy, R-squared, residuals, precision, and recall).
Machine Learning Engineers with the ability to use classic Machine Learning models (for example, PCA, K-means, K-NNs, SVM, Logistic Regression, Linear Regression, and Decision Tree Learning), methods to train them (such as initialization, optimization, regularization, and hyperparameter tuning).
If you are keen on filling one of those roles, then apply!
Degree in Data Science or Engineering;
Expertise in Cloud Technologies and Cloud; Computing (AWS, Azure);
Experience in querying databases (SQL);
Data modelling and data engineering skills (Python, KNIME, R);
Solid background in Mathematics
Solid knowledge on Machine Learning and Deep Learning;
Very good English and German language skills written and spoken;
Strong service provider attitude;
Strong data mind;
Ability to deﬁne problems and draw valid conclusions from data;
Very good communication, presentation and teamwork skills.