Energy Systems Analytics Group Spain announces a position as Data Scientist (R1). The candidate will work on technical research projects in the fields of optimal energy management, energy efficiency, smart grids and sustainable vehicles.
The tasks to be carried out will be mainly focused on machine learning algorithms, data management and data visualization.
This professional must be highly skilled in statistics, artificial intelligence, data management and visualization.
Capacity to work in a team, flexible, innovative, with initiative and problem-solving skills would be valuable. High level of analytical and synthesis skills would be beneficial.
Qualifications and experience required
Degree or master in statistics or mathematics, or alternatively in computer science, telecommunications, electrical engineering or statistics with programming experience.
Skills are required for the following
- Knowledge of Python.
- Experience in machine-learning libraries such as Pytorch, Tensorflow.
- Knowledge of database management.
- Knowledge of data visualization.
- Other skills required.
- Self-motivated and open-minded.
- Good communication skills.
Preferred
- Experience in data science tools: R, Python (NumPy, SciPy)
- Experience in data visualization tools: D3.js, QGIS, Grafana, ggplot2, and Gnuplot.
- Knowledge on Statistics and Machine Learning: clustering, multivariate analysis, reporting and interpretation.
Language required
- Fluent in Spanish and English.
Personal Skills – Data Scientist – Spain
- Team Worker.
- Initiative in Research and Innovation.
- Flexibility.
- Results-oriented.
- Analytical and synthesis capabilities.
Salary
Salaries will be paid in accordance with the IREC’s salary policy, depending on the candidate’s qualification and professional experience.
How to Apply
Send applications by email ( [email protected]) including CV, academic and professional records and motivation letter.
Please indicate “NºRef.57/2019” in the subject.
 in The Catalonia Institute for Energy Research has two centres, Spain){kind=link}
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