Massimo Mauro
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.
AWS Cloud Practitioner Essentials (First Edition)
Amazon
June 24, 2026 – Present
Mining Massive Datasets
Coursera
June 24, 2026 – Present
Image and Video Processing
Coursera
June 24, 2026 – Present
Agile with Atlassian Jira
Coursera
June 24, 2026 – Present
Apache Spark 2.0 with Scala - Hands On with Big Data!
Sundog Education
June 24, 2026 – Present
Introduction to Data Science
Coursera
June 24, 2026 – Present
Deep Reinforcement Learning Nanodegree
Udacity
June 24, 2026 – Present
Tools And Techniques for Massive Data Analysis
CINECA
June 24, 2026 – Present
Discrete Inference and Learning in Artificial Vision
Coursera
June 24, 2026 – Present
AWS Fundamentals: Going Cloud-Native
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.