Job Reference
435_25_CASE_DPP_R2
Position
Established Researcher Data Scientist (R2)
Closing Date
Wednesday, 30 July, 2025
Reference: 435_25_CASE_DPP_R2
Job title: Established Researcher Data Scientist (R2)
About BSC
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Look at the BSC experience:
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The Computational Applications in Science and Engineering department (CASE) works with industry and academia developing software and applications that leverage the power of High-Performance Computing to solve real problems.
One particular line of research is data science, AI, and machine learning applied to industrial processes and systems, which resides in the Data Analytics and Visualization Group. The goal of this line of research is to develop tools and techniques to help industry in tasks such as anomaly prediction, energy and resource optimization, and efficient operation of complex systems.
The role of this position will be to prepare and analyse data from user/product relations, and then creating models and profiles that characterise the users as well as the products, focused on feeding and creating large scale recommender system.
The position will also help in cleaning and preparing data, and collaborate with data engineers to set up and deploy the models in production pipelines.
Finally, the person will also collaborate with other projects and researchers in the group, either bringing experience or by learning by working in new fields.
One particular line of research is data science, AI, and machine learning applied to industrial processes and systems, which resides in the Data Analytics and Visualization Group. The goal of this line of research is to develop tools and techniques to help industry in tasks such as anomaly prediction, energy and resource optimization, and efficient operation of complex systems.
The role of this position will be to prepare and analyse data from user/product relations, and then creating models and profiles that characterise the users as well as the products, focused on feeding and creating large scale recommender system.
The position will also help in cleaning and preparing data, and collaborate with data engineers to set up and deploy the models in production pipelines.
Finally, the person will also collaborate with other projects and researchers in the group, either bringing experience or by learning by working in new fields.
Key Duties
- Work to receive, ingest, prepare, and clean data from the project stakeholders
- Develop and implement recommender systems, training them in HPC facilities
- Help prepare the tuned models for external use in production, either in cloud or workstation infrastructures
- Validate and measure the performance of the models developed, against others the selected baselines.
- Research and implement novel recommender architectures incorporating AI components
Requirements
- Education
- PhD on Data Science, Applied Mathematics, or Computer Science
- Essential Knowledge and Professional Experience
- Experience with data science methods applied to industry
- Experience on applied data science projects
- Ample experience on popular languages for data scientists (Preferably Python)
- Experience on machine learning best practices
- Strong initiative to carry on a multidisciplinary research project involving talking to people on many different fields
- Experience with putting ML models in virtualised containers or MLops systems
- General knowledge of and experience on distributed and parallel computing, cloud, and big data infrastructures
- Additional Knowledge and Professional Experience
- Knowledge of streaming architectures
- Experience with real world data science problems
- Setting up machine learning projects in production
- Fluency in spoken and written English and Spanish, while fluency in other European languages will be also valued
- Competences
- Excellent communication skills, specially at the level of producing internal documentation (manuals, white papers) for reuse and reproducibility of results
Conditions
- The position will be located at BSC within the CASE Department
- We offer a full-time contract (37.5h/week), 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: 16/08/2025
Applications procedure and process
All applications must be submitted via the BSC website and contain:
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- A full CV in English including contact details
- 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.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
For more information follow this link