We value the following skills
- Knowledge of machine learning, deep learning and statistics applications in different domains.
- Experience or knowledge in applications of Data Science for Sustainability.
- Experience in developing end2end ML products from their definition to the productivization phase, data processing, exploratory analysis, model development and optimization, visualization of results.
- In terms of experimentation, design and analysis of AB tests applying Bayesian statistics.
- Analytical and programming background (python, pyspark)
- ETLs (SQL, Spark DataFrames API)
- In-person attendance at the Madrid office is required once or twice a week for meetings.
