Grundlegend

Data Scientist - sant just desvern

catalunya, Spain Gesellschaft: JR Spain Kunde / Arbeitgeber: Ernesto Ventós
Gepostet: 29.05.2026
Abschlussdatum: 13.07.2026
Berufsreferenz: 75219008439608934432460

Stelleninformationen

Lage
catalunya, Spain
Gesellschaft
JR Spain
Kunde / Arbeitgeber
Ernesto Ventós
Berufsreferenz
75219008439608934432460
Auflistungstyp
Grundlegend
EU-Arbeitserlaubnis erforderlich
Nein
Gepostet
29.05.2026
Abschlussdatum
13.07.2026

Stellenbeschreibung

Ventós Group is an international company specialized in the distribution and production of Essential Oils & Aroma Chemicals with the Head Quarters located in Barcelona, Spain. The group has 9 subsidiaries around the world.


We believe our people are our most important asset, so we'll offer you a dynamic international working environment with constant opportunities for development.


We are currently looking for a Data Scientist to join our new Data and Artificial Intelligence department, helping drive these initiatives within the company by developing end-to-end AI projects and contributing to the growth of the department itself. The role will be supported strategically by Dribia as a technological partner and offers significant professional growth alongside the company’s expansion.


Responsibilities:

  • Perform exploratory data analysis and visualization to identify patterns, generate actionable insights, define new use cases, and create proofs of concepts.
  • Develop end-to-end AI solutions. This includes solution design, creation of algorithmic prototypes (PoC), data processing, model development, and productization.
  • Maintenance and evolution of developed projects.
  • Participation in training and upskilling Ventós employees in the adoption and use of the developed solutions.


Requirements:

  • Bachelor’s or Master’s degree (in Computer Science, Mathematics, Physics, Engineering, or a related field).
  • 3 years of experience in data/AI environments.


The following skills will be positively valued:

  • Knowledge of data analysis and visualization.
  • Knowledge of machine learning, inference, and/or optimization.
  • Design and use of databases, back-end programming, and API usage/programming.
  • Experience with LLMs and generative AI.


Current Tech Stack:

  • Microsoft Analysis Services
  • Power BI
  • SQL Server
  • Visual Studio Code
  • Visual Studio
  • Fast API
  • PostgreSQL
  • Python
  • Docker
  • Linux
  • Git


Additional Information

We offer a benefits package which includes:

  • Remote work: 1 full day and 2 afternoons per week.
  • Flexible working hours.
  • Free language classes and access to other training courses.
  • Health insurance.
  • Shared spaces for after-work activities.
  • Subsidized meals and breakfast service.
  • Corporate paddle tennis court for employees and their families.


Do you think your professional profile fits and this could be a good project for you? Send us your application and tell us why!

Fähigkeiten

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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