DATA SCIENTIST

We are a digital company born in 2008 and in just a few years we have become the number 1 comparison site in Italy. Thanks to technology, we have transformed the process of choosing insurance, financial products and household expenses into a simple and fast activity, allowing millions of people to save time and money every day. We are a group of almost 1,000 young digital entrepreneurs, developers, marketers, designers and engineers. Born as a startup, we have maintained the same mentality over time: we are concrete, we look at results and invest in talent and meritocracy. We have grown so much in recent years, to become one of the very few Italian unicorns, and we continue to grow. For this we are looking for the best talents, people who want to make a difference and who can join our team to contribute to our evolution. We believe that the balance between private and professional life is fundamental. That’s why we introduced concrete initiatives to create a working environment that promotes both productivity and well-being individual: short week, unlimited remote working, up to 50% more holidays per year, longer paternity-leave, welfare and more. We strive every day to create an inclusive working environment, based on respect, ethics and equal opportunities, to ensure the enhancement of the characteristics of each and foster the well-being of our people. Are you an experienced Data Scientist? Do you want to create a real impact, improving the customer experience and optimizing the operations through ML models? Are you tired of endless “Proof of Concept”, and want to actually bring your models into production? Are you looking for an agile, dynamic and informal working environment? Join Facile.it as a Senior Data Scientist! You will be responsible for: Develop and deploy ML solutions to tackle critical business challenges Work in close partnership with Business, Product, and Marketing teams, fostering open communication to clearly understand their needs and priorities Bridge the technical gap by effectively communicating complex findings and model results to a broad audience Collaborate with Data Engineers to deploy models in production, manage their lifecycle, and continuously improve our MLOps pipelines for efficiency and scalability Stay ahead of the curve by studying and researching new technologies and solutions Some of the projects on which you will work: Optimization of the Call Center activities Customization of customer experience on the website Marketing spending optimization Forecasting of users and volumes Automated Document Data Extraction Conversational AI What you need: Master degree in a related field At least 3 years of experience as a Data Scientist Advanced knowledge of Python Intermediate knowledge of SQL Extensive knowledge of ML frameworks and scientific libraries (pandas, scikit-learn, tensorflow) Proven experience in developing and deploying ML models in production, managing their full lifecycle (including real-time use cases), and monitoring their impact Working experience in a Cloud environment Can-do mindset with a strong focus on collaboration and teamworking Excellent communication skills Ability to prioritize, organize and manage your workflow effectively Proactive and results-oriented with a strong sense of ownership We will make sure you always have: Autonomy and responsibility : you will be free to choose, try, fail and try again. We believe that getting involved is the first step to making a difference Career opportunities : you will be evaluated every six months and your results will guide your growth path Continuous training : we believe in talent and we like to cultivate it. You will have training and refresher courses available during which you can learn from industry experts Stimulating environment : we work in a dynamic and synergistic way, cross team. This will allow you to deal with talented professionals and always challenging activities Flexible working mode : Smart working Short workweek, Friday afternoon is off More than 50% of holidays compared to those already planned Various welfare initiatives (for parents, leisure, personal care) #LI-EC1