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Staff Data Scientist @ FLIX | PhD | Machine Learning, Causal Inference, Data Product Owner
WHO ARE YOU? I'm a data scientist with 8+ years of experience, and 3 years of product ownership experience. WHAT IS YOUR BACKGROUND? Computer vision and signal processing in general. WHAT DO YOU LIKE? I strongly believe important decisions should be based on data. I'm passionate about designing, developing, and driving data solutions to business problems that support taking those decisions. OTHER THINGS YOU LIKE? I aim to simple solutions, but not simplistic. I aim to quality and precision, but I also value the concept of "good enough". I'm also very interested - though less experienced - in things "more AI", such as reinforcement learning and generative AI. WHAT IS MOST IMPORTANT FOR YOU IN YOUR JOB? To make an impact (ideally measurable :) To build positive relationships with colleagues. To keep learning and growing. HOW DO YOU DESCRIBE YOURSELF? I'm a curious person. I'm much more pragmatic than idealistic. I believe openness and adaptability are key. TELL US SOMETHING MORE ABOUT YOU. I’m a musician - I enjoy playing piano, guitar, and more. I'm a food-lover - food makes me happier (and my bank account smaller) I love bad jokes. And dogs. WHAT IF I HAVE MORE QUESTIONS? Send me a message, I'm looking forward to hear from you!
Università degli Studi di Brescia
Doctor of Philosophy (PhD), Computer Vision
January 1, 2010 – January 1, 2013
Università degli Studi di Brescia
Master of Science (MS), Telecommunication Engineering
January 1, 2007 – January 1, 2010
Università degli Studi di Brescia
Bachelor of Science (BS), Information Engineering - Curriculum in Telecommunication Systems
January 1, 2004 – January 1, 2007
Flix
Staff Data Scientist (Causal Inference & Customer Profiling)
April 1, 2024 – Present
Flix
Senior Data Scientist (Causal Inference)
January 1, 2023 – April 1, 2024
Flix
Product Owner (Commercial Development & Customer insights)
September 1, 2021 – December 1, 2022
Flix
Product Owner (CRM automation & Customer data)
January 1, 2020 – September 1, 2021
Flix
Senior Data Scientist (Customer insights & Causal inference)
September 1, 2019 – January 1, 2020
Flix
Staff Data Scientist
November 1, 2017 – Present
Flix
Data Scientist (Marketing)
October 1, 2017 – September 1, 2019
Yonderlabs
Data Scientist - Machine Learning
January 1, 2015 – October 1, 2017
Trento, Trentino-Alto Adige, Italy
University of Brescia
Postdoctoral Researcher
December 1, 2013 – December 1, 2014
University of Brescia
ETH, Swiss Federal Institute of Technology, Zurich
Visiting Researcher at the Computer Vision Lab
October 1, 2012 – April 1, 2013
Zurigo
ST Microelectronics
Internship
January 1, 2010 – July 1, 2010
Milan Area, Italy
OUTLINE
Internship
June 1, 2007 – September 1, 2007
Brescia, Italy
RunVisor
March 1, 2015 – Present
RunVisor is the real-time personal coach with speech-enabled-feedback dedicated to amateur and professional runners.
APPORTA
January 1, 2013 – Present
Progettazione di un database contenente la messaggistica di diagnostica per l’assistenza post-vendita integrato con un sistema di troubleshooting e manutenzione basato su riconoscimento automatico di oggetti.
Agile with Atlassian Jira
Coursera
June 24, 2026 – Present
AWS Fundamentals: Going Cloud-Native
Coursera
June 24, 2026 – Present
AWS Cloud Practitioner Essentials (First Edition)
Amazon
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Apache Spark 2.0 with Scala - Hands On with Big Data!
Sundog Education
June 24, 2026 – Present
Mining Massive Datasets
Coursera
June 24, 2026 – Present
Tools And Techniques for Massive Data Analysis
CINECA
June 24, 2026 – Present
Introduction to Data Science
Coursera
June 24, 2026 – Present
Discrete Inference and Learning in Artificial Vision
Coursera
June 24, 2026 – Present
Image and Video Processing
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long tenure at Flix, progressing through various data science and product owner roles, which suggests loyalty and adaptability within a single organizational culture. The projects 'RunVisor' and 'APPORTA' indicate personal initiative and a diverse interest in applying data science to real-world problems, including health and industrial diagnostics. The academic background in Computer Vision and Telecommunication Engineering, combined with certifications in AWS, Spark, and various ML/Data Science topics, shows a continuous learning mindset. However, the target role of 'Data Analyst' might be a step down from their 'Staff Data Scientist' and 'Senior Data Scientist' roles, potentially indicating a mismatch in career progression expectations or a desire for a different type of challenge. The lack of explicit team collaboration or leadership descriptions in project details makes it difficult to fully assess cultural fit beyond individual contributions.
Soft Skills & Operational Fit
The candidate's experience as a Product Owner indicates strong problem-solving, product design, and attention to detail skills, which are valuable for understanding business needs and translating them into data solutions. The repeated emphasis on 'Problem Solving' across various roles suggests a consistent ability to tackle complex challenges. However, without psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.