What is Statwolf?
Founded by three Ph.D. data scientists, Statwolf's goal is to bridge the gap between state-of-the-art machine learning solutions and enterprise tools.
With offices in Dublin, Ireland and Padova, Italy, our goal is to make the benefits of complex data science accessible to a wide range of industries. With advanced knowledge of data science, and state-of-the-art machine learning techniques, we help companies navigate and interpret highly complex projects.
Chief Executive Officer
Simone is in charge of Statwolf's strategy and business development. Having spent years researching and developing Machine Learning-based software for big companies, Simone understands how to bridge the gap between academic research and business use cases.
His main goal is to give business decision-makers access to the huge advantages of Machine Learning and Big Data Analytics. Simone has a Ph.D. in Computer Science and Machine Learning from the University of Pavia (Italy), and has published many peer-reviewed journals. Before joining the founding team at Statwolf, Simone was a Post-Doctoral Researcher at the National University of Ireland, Maynooth (NUIM).
He loves Quentin Tarantino movies, corgi dogs and over-priced protein shakes.
Chief Technology Officer
Andrea is responsible for the technical roadmap and implementation process of the Statwolf platform. As a passionate software developer, he is always looking for ways to make Statwolf even smarter and more efficient. His skills include software architecture, data modelling and server-side software implementation.
After earning a Ph.D. in Machine Learning from the University of Pavia (Italy) in 2011, he held postdoctoral positions there, as well as at the University of Maynooth (Ireland). He was also a Process Development Researcher at Infineon Technologies.
While not working, Andrea enjoys the true pleasures of life – like Irish Angus fillet steak, a glass of Italian wine, and carefully selected company.
Gian Antonio Susto
Chief Data Scientist
Gian Antonio oversees all things related to algorithms and methodologies. He can count on several years’ experience developing Machine Learning-based solutions, from soft sensing and predictive maintenance to advanced analytics, gesture recognition, sentiment analysis and fault detection.
Gian Antonio is a passionate scientific thinker, and earned his Ph.D. in Machine Learning from the University of Galileo Galilei, Padua (Italy). Before joining the founding team at Statwolf, Gian Antonio held visiting positions at the University of California, University of San Diego, National University of Ireland, Maynooth University and Infineon Technologies, and has authored 30 publications in international journals.
Gian Antonio is an all-round good guy, with a weakness for Juventus F.C.
Bojack The Corgi
Head of Pawsitivity
Chiara Masiero, Ph.D.
Krystyna Isakova, Ph.D.
Brand & Marketing Manager
Department of Information Engineering, University of Padova
Giuseppe De Nicolao
Identification and Control of Dynamic Systems Laboratory, University of Pavia
Do you want to work with us?
Founded on the back of a true passion for data, Statwolf is a company that values smart thinkers. We're also a great place to work - though we would say that!
The benefits of working for us include:
- Great career prospects, in a fast-growing industry
- Hands-on experience of the latest technologies and state-of-the-art machine learning techniques
- A relaxed, friendly work environment
- Flexible working times
- The possibility of working from home
- A Competitive salary with end-year bonuses
- The chance to live and work in two great European cities, Dublin (Ireland) or Padua (Italy):
As an added bonus, we also provide benefit packages that can include:
- Temporary accommodation in Dublin city centre for your first weeks in Ireland
- Health and Dental Insurance
- English Total Immersion Course at one of the most renowned English schools of Dublin
- Free coffee and lunch every day
With offices in Dublin, Ireland, and Padua, Italy, we're a mix of statisticians, developers, business executives and academic advisors. If you think you'd be a good fit, check out our vacancies below or drop us a line and we'll be in touch.
We’re sorry but we currently have no active vacancies. However, if you’ve got strong sales, data science or web development experience and are interested in being part of the team, drop us a line, and we’ll get in touch if a suitable role comes up.