Data Scientist

Requirements: You have a Bachelor's or Master's Degree in Data Science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. Further to that, you have a strong understanding of and practical experience with Multivariate Statistics, Machine Learning, and Probability concepts. You gained experience in articulating business questions and using quantitative techniques to arrive at a solution using available data. You demonstrate hands-on experience with preprocessing, feature engineering, feature selection, and data cleansing on real-world datasets. Preferably, you have work experience in an engineering or technology role. You bring a strong background of Python and handling large data sets using SQL in a business environment (pandas, numpy, matplotlib, seaborn, sklearn, keras, tensorflow, pytorch, statsmodels, etc. ) to the role. You have a sound knowledge of data architectures and concepts and practical experience in the visualization of large datasets, e. g. with Tableau or PowerBI. Result-driven mindset and excellent communication skills with high social competence give you the ability to structure a project from idea to experimentation to prototype to implementation. Very good English skills. As a plus, you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar. Preferred Qualifications: Experience working with data scientists, ML engineers, and developers. Familiarity with IT administration and data security practices. Knowledge of stakeholder management in large, international organizations.

Early access for the Aikin systems