The Paris-Saclay CDS 2 has opened a data engineering position to reinforce the data science ecosystem and to build and support a data science platform. The data engineer will work on (in order of priority):
- Software engineering. The objective to enable researchers to do better science thanks to better software tools. It means bringing state of the art data science research software into high quality toolboxes (as scikit-learn). Getting involved with open source development. Assisting data scientists (students, postdoctoral fellows, permanent researchers) to develop their software engineering skills and to get them involved with open source development.
- Training. Accompany domain scientists in their data analysis efforts. Accompany data scientists in their methodological research. Designing training sprints and practical material for the courses (cf. based on software carpentry)
- The data engineer will work with scikit-learn core developers such as Gaël Varoquaux, Olivier Grisel, Loic Estève, Alexandre Gramfort and others. Possible collaboration with data and domain science researchers such as Balazs Kegl, Isabelle Guyon, Sarah Cohen-Boulakia, Karine Zeitouni, David Rousseau, and others.
- M.S. / Ph.D. in Computer Science, Statistical Machine Learning
- Good understanding of the data science workflow. Experience with data challenges is a plus.
- Strong programming experience with one or more data science languages (Python, R, Matlab)
- Experience with open source development .
The applicant should send a CV, a statement of purpose, and up to three letters of recommendations to firstname.lastname@example.org.
Position is open now and will be open until it is filled.
Duration: 18 months
Gross salary per month in €: 1930 – 2370