Paolo Campigotto

Senior data scientist

Vienna, Vienna, Austria

About

Versatile data scientist with a passion for leveraging machine learning and AI to transform complex datasets into actionable insights, driving product innovation, accelerating decision-making processes, and solving intricate problems. I have worked on projects spanning a wide range of industries, from healthcare and manufacturing to retail. I have handled the entire AI development cycle: understanding the customer needs, designing / implementing AI solutions generating business value, deploying the solutions in collaboration with the data engineers. All this with a touch of friendliness , which never hurts :) Obsession for clear communication: proud when I can explain complex technical concepts to non-technical stakeholders. Extensive experience and interests in machine learning, mathematical optimization, privacy-preserving data analysis (differential privacy), ML safety, ethical and responsible AI, software development (production-grade code). More recently, agentic systems (Claude Agent SDK, DSPy, Langfuse) and retrieval-augmented generation.

Experience

  • Senior Data Scientist at Gradient Zero
    Nov 2019 - Present · 6 yrs 8 mos

    Lead and own AI solutions end-to-end — roadmap, design, implementation, and stakeholder management — across a range of industries, such as healthcare and manufacturing.

  • Chief Executive Officer at GZI Srl
    May 2021 - Dec 2024 · 3 yrs 8 mos

    Company management, client facing, hiring.

  • Senior Data Scientist at Shpock
    2016 - 2019 · 3 yrs

    Applied sophisticated statistical and machine-learning techniques to large-scale data generated by millions of users.

  • Postdoctoral Researcher at TU Dortmund University
    2015 - 2016 · 1 yr

    Data modelling, design and implementation of novel approaches for optimization under uncertainty.

  • Postdoctoral Researcher at AIT Austrian Institute of Technology GmbH
    2013 - 2014 · 1 yr

    Designed and implemented a personalized route-recommendation system based on travel preferences of the users.