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Jon S. — Mid-Level Data Science and Data Engineering Specialist from Spain

Jon S.

Mid-Level Data Science and Data Engineering Specialist

Spain 1-2 years
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EnglishSpanishFrenchItalian
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About

Jon S. is a Data Scientist with an academic background in Physics, holding an M.Sc. in Physics and Mathematics. He currently serves as a Data Scientist at Altia, working on the National Employment Exchange (BNE) Project in Chile. In this role, Jon utilizes Python and SQL to build scalable ETL pipelines and develops NLP-based solutions for automated job matching, leveraging semantic similarity techniques and ESCO/ISCO taxonomies. He also takes the technical lead on automated certification processes for national employment funds, orchestrating data integration across APIs and FTP. Jon devises interactive visualizations using Power BI and Qlik Sense, translating complex datasets into actionable reports for government stakeholders. Previously, at ASIMOB in Spain, he contributed to road infrastructure automation projects, applying computer vision and mathematical modeling for spatial data processing in public sector innovation.

Experience

  • Data Scientist / Data Analyst

    Altia | National Employment Exchange (BNE) Project · 2025 — Present
    Contributed to the development of NLP engines for job matching and automated offer validation while functioning as a data analyst and model evaluator. Engaged in data cleaning, normalization, and semantic labeling with ESCO/ISCO taxonomies for job matching optimization. Created Regex filters to identify logical inconsistencies in titles and roles for improved data quality. Served as the technical lead for automating the certification process of the Solidarity Unemployment Fund by designing complex SQL queries and integrating API and FTP data. Built ETL pipelines that handled millions of employment records using advanced Python (Pandas, NumPy) and SQL Server. Developed dashboards in Power BI and Qlik to track employability KPIs, producing strategic reports for government clients and stakeholders.

  • Physical Modeling & Computer Vision

    ASIMOB (Advanced Services in Mobility S.L.) · 2022 — 2024
    Engaged in the innovation project for MITMA by developing physico-mathematical models in Python aimed at automating road infrastructure inspections. Worked on projective geometry-based computer vision algorithms to enhance the spatial positioning of traffic signs from camera images, increasing detection accuracy in inspection frameworks. Conducted applied R&D through the undergraduate thesis on traffic sign positioning using AI, with algorithms that surpassed previous methodologies and were integrated into company's operational services. Utilized NumPy, GeoPandas, Shapely, and PyProj for advanced spatial data processing and navigation systems.

Skills & Expertise

AI and Data ScienceData ScientistData EngineeringMachine LearningData Visualization Specialist

Education

  • M.Sc. in Physics and Mathematics
    University of Granada · 2023 — 2025
  • B.Sc. in Physics
    University of the Basque Country · 2018 — 2023
  • Erasmus+ Mobility Program (Physics)
    Università di Bologna · 2021 — 2022