Data Scientist (m/f/d) with Python and PySpark on a Databricks Tech-Stack

Description

Data Scientist (m/f/d) with Python and PySpark on a Databricks Tech-Stack

Project location: Remote

– Advice and designing business-critical data science use cases, from the business problem to delivery and operation.

– Statistical analysis and exploration of static, mixed, and time-series data.

– Writing of exploration and production code in Python and PySpark on a Databricks Tech-Stack.

– Design and implementation of ML algorithms related to failure predictions.

– Improvement and optimization of existing ML algorithms using various tuning techniques.

– Study of new features, feature importances, correlations, causations, data leakage, up- and downsampling.

– Advice data engineers in writing production code for feature engineering

Project skills:

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Good communicator, but great at independent work. Solution oriented. Analytical thinking

Experience in Data Science, machine learning, statistical modelling, multivariate analysis, exploratory data analysis, and software development + data engineering. Optimally, candidate should have a degree in mathematics, physics, computer sciences or in a related field. Several years of experience in Python programming are required, especially in working with PySpark, Scikit-Learn, XGBoost, MLflow, Matplotlib and related libraries. Good familarity with Azure, Git, Gitlab, CI/CD, Docker and Databricks are beneficial. Candidate should be familiar or inclined to working in an agile environment. Prior experience with predictive maintenance tasks is a plus