Data scientist for Earth Sciences
Role details
Job location
Tech stack
Job description
- Examine the creation and multiplication of DRVs across different virtual communities
- Digital social network analysis
- Supporting methodological design and execution to examine the creation of environmental stewardship triggered by digital nature values.
- Support of large language model development
- Survey design, execution and data analysis
- Experimental design, execution and data analysis, * A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
- Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es. For more information, please follow this link.
Requirements
- BA in Environmental Science, or related area
- Formal Education in data science (level of MSc)
- Essential Knowledge and Professional Experience
- Work experience as a Data scientist
- Work experience in a research environment
- Coding in Python
- Additional Knowledge and Professional Experience
- Good knowledge of statistics
- Domain knowledge in environmental science, geography or sociology
- Project Management skills
- Competences
- Fluency in English
- Good written and verbal communication skills, including the production of scientific literature
- Good problem-solving skills
- Ability to take initiatives, prioritize tasks and work under set deadlines
- Ability to work both independently and in a team
Benefits & conditions
- The position will be located at BSC within the Earth Sciences Department
- We offer a part-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
- Starting date: Asap