We are looking for a Data Scientist to join our growing team on a stable basis. You will join relevant projects together with an expert team of technicians in multiple technologies. You will be part of a team specialized in Big Data solutions, where you will be able to develop your full potential using agile methodologies without leaving aside the essential human factor.
Required:
– A degree in Data Science, Mathematics or Physics, at bachelor or master level. Degrees such as Computer Science or Telecommunications Engineering would be an asset, especially if you have a master’s degree or specialisation in information technology or data analysis and management.
– Practical applied knowledge of statistics, applied algorithms and optimisation (e.g. regression algorithms, time series, matrix decomposition, heuristic methods, etc.), as well as good knowledge of data lifecycle and data governance: data ingestion, data quality, data security, data preparation, data exploitation, etc.
– High level of English, as there is a possibility that the people you collaborate with in the projects will be in other countries.
– Be an open and communicative person, both with colleagues and partners as well as with potential clients of our company and have no qualms about making presentations that require us to speak in public.
– Experience programming with Python as a programming language, and Jupyter notebooks, and be familiar with the main libraries for data processing, generation of visualisations, ML, etc. such as Pandas, Numpy, Matplotlib, Plotly, Sklearn, TensorFlow, Keras, etc.
– Experience in creating Deep Learning models (ANN, RNN, LSTM, CNN, GAN, etc.), being familiar with hypermodels and metrics analysis.
– Supervision and accompaniment of junior people.
Will be valued:
– Don’t be afraid of technical challenges or environments with high uncertainty. You will have to help ‘ground’ academic and theoretical concepts so that our technical team can carry them out, and support your colleagues to implement dashboards that help our users interpret information and make decisions with less uncertainty.
– Enthusiasm, proactivity and ability to work as part of a team. Initiative and willingness to learn are highly valued.
And you will also have:
– Stable job position
– Flexible working hours
– 100% telecommuting or hybrid. You choose
– Friday intensive working day
– July and August intensive working day
– Day off on your birthday
– Flexible remuneration
– Life and accident insurance
– Subsidised health insurance premiums
– Continuous training
– Possibility of internal promotion
– Professional career plan
– Other social benefits (fitness trainer, loyalty trip, etc.)
– Great working atmosphere and a fantastic team.