Data Scientist Position

The Paris-Saclay CDS for has opened data science positions to reinforce the data science ecosystem and to build and support a data science platform. The data scientist will work on (in order of priority):

Responsibilities

• Data-science support: The CDS has many collaborations between scientists and engineers across scientific disciplines. The candidate will work on a small number of data-science projects with different scientific partners. The candidate should be interested in a variety of scientific applications of data processing and able to understand an application, to communicate with scientists of a different culture, and to deploy data-processing solutions for their needs.
  • Galaxy/star classification for preparing the LSST data processing pipeline.
  • Particle tracking for the ATLAS /LHC upgrade.
  • Segmenting and classifying Solar wind time series data.
  • Classifying hospital stays (PMSI coding) with APHP.
  • Laser spectrometry to improve the safety of intravenous drug administration.
  • Improving search in large biological and biomedical data sets.
  • Analyzing sensor data for tracking pollution and its health effects (Polluscope).
  • Classifying crowdsourced ecology data (Spipoll).
• 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).

Qualifications

• 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 (desired but not required).

Application

The applicant should send a CV, a statement of purpose, and up to three letters of recommendations to

Availability

Position is open now and will be open until it is filled.