HRS2025 / 403 Data Scientist - DESAFÍO CM

EURAXESS Czech Republic; España; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading Spanish university seeks a Programming Researcher to evaluate services in a data science pipeline and transform tasks into services. The ideal candidate will have a Bachelor or Master degree, strong programming skills in Python, experience with machine learning tools, and excellent Spanish and English abilities. This permanent position offers a full-time contract with a starting date of September 1, 2025.

Formación

• PhD student or interested in pursuing a PhD.
• Master in Data Science.
• Graduate in Industrial Engineering, Biomedical Engineering, Computer Science.
• 1-4 years of research experience.

Responsabilidades

• Evaluate services executed in a data science pipeline.
• Transform tasks into services.
• Conduct case study analysis for evaluation tasks.

Conocimientos

Linux (Debian / Ubuntu)

Windows

CRAN

Python (2.7-3)

Spark

Pytorch

Sklearn

TensorFlow (Keras)

PowerBI

Qlik sense

Docker

Apache Airflow

Educación

Bachelor Degree or equivalent

Master Degree or equivalent

Descripción del empleo

Organisation / Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Spain Application Deadline 4 Aug 2025 - 20 : 00 (Europe / Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Evaluation of services executed in a data science pipeline

Transformation of tasks into services

Case study analysis for evaluation tasks

AI models

Where to apply

E-mail

Requirements

Research Field Computer science » Programming Education Level Bachelor Degree or equivalent

Research Field Computer science » Other Education Level Master Degree or equivalent

Skills / Qualifications

Linux (Debian / Ubuntu), Windows

Programming : CRAN, Python (2.7-+3), Spark (Python, Scala)

Machine Learning : Pytorch, Sklearn, TensorFlow (Keras), SparkMlib, CRAN (R)

Data Visualization : PowerBI, Qlik sense, Shiny, Looker, Power Apps

Virtualizations and process management : Docker, ECS, Apache Airflow

R&D projects : Experience participating in research and development projects, including dissemination

Specific Requirements

PhD student or interested in pursuing a PhD

Master in Data science

Graduate in Industrial engineering, biomedical eng., computer science

Linux (Debian / Ubuntu), Windows

Programming : CRAN, Python (2.7-+3), Spark (Python, Scala)

Machine Learning : Pytorch, Sklearn, TensorFlow (Keras), SparkMlib, CRAN (R)

Data Visualization : PowerBI, Qlik sense, Shiny, Looker, Power Apps

Virtualizations and process management : Docker, ECS, Apache Airflow

R&D projects : Experience participating in research and development projects, including dissemination

Languages SPANISH Level Excellent

Languages ENGLISH Level Excellent

Research Field Computer science » Other Years of Research Experience 1 - 4

Additional Information

The selected candidate will join the MEDAL Laboratory of the CTB-UPM, Carretera M.40, KM. 38. 28223 Pozuelo de Alarcón, Madrid, Spain.

Eligibility criteria

PhD student : 0 - 2

Master : 0 - 2

Grade : 0 - 2

Professional experience : 0 - 2

Use of computer tools : 0 - 2

Medium-high level of English : 0 - 1

Other skills and competencies : 0 - 2

Personal interview : 0 - 2

Selection process

Only applications that send a copy of the required degrees to the email : , indicating in the subject the reference : "DESAFÍO CM" will be evaluated. Those candidates that DO NOT meet the previous requirement will be EXCLUDED from the selection process.

Additional comments

This contract is funded by the project DESAFÍO-CM, TEC-2024 / COM-235, financed by the Community of Madrid, Directorate General for Research and Technological Innovation, through Order 5696 / 2024, dated December 10th, issued by the Regional Minister of Education, Science and Universities, under the modality of R&D activity programs in technologies called by Order 3177 / 2024, dated July 10th, from the Regional Minister of Education, Science and Universities.

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