Senior Data Scientist

Description Simplify payments to improve everyone’s life More than an app, Satispay is a great group of creative, innovative, curious, enthusiastic people united by a bold mission: to build the future of payments in Europe We created a mobile payment network to revolutionise how people think about money, by creating a direct connection between consumers and merchants. We do it smart every day while being responsible for the impact of our choices. We believe in creating value for our network through constant collaboration and hard work. If you want to know more about us, give a look here: Join us as a Senior Data Scientist. What you will be doing We are looking for an exceptional Senior Data Scientist with experience and a strong expertise in Machine Learning methods and technologies, who is comfortable working in an agile but architecture-led environment. You will be responsible for analyzing large and complex datasets, and conceiving predictive models and algorithms that will drive our financial solutions. This role is based at our headquarters in Milan, where – along with all the key people – as an active member of Satispay, you will be a core member of the Tech & Product Team, helping fuel the growth of the Satispay Group (Italy, Luxembourg, France and soon other countries) in activities such as: Identify opportunities for leveraging machine learning to enhance our offerings and processes Analyze large and complex data sets to uncover hidden patterns and insights Design, develop, and deploy machine learning models to solve business problems, forecast customer behavior, and improve the user experience Design and implement experiments to test hypotheses and evaluate the impact of new features Collaborate with Satispay cross-functional teams to build a best-in-class data infrastructure and perform analysis on large sets of data to extract impactful insights on user behavior that will help drive product and design decisions Continuously monitor and optimize machine learning models for accuracy and performance Communicate findings and insights in a clear and concise manner to stakeholders across Satispay Stay up to date with the latest developments and best practices in machine learning and data science What we need Above and beyond a strong technical expertise, our ideal candidate has proven business judgment, along with great communication skills. If you think you are able to take complex, ambiguous topics and create compelling narratives for various and diverse audiences – both external stakeholders and colleagues – then submit your application. You have: Relevant experience or a master-level degree in statistics, mathematics, computer science, engineering, physics or another quantitative subject area (PhD is a plus) A thorough understanding of statistical modeling, and 5 years of experience in data science, with a focus on Machine Learning and Deep Learning Expertise with statistical techniques and their applications in business Strong programming skills in Python and experience with machine learning libraries such as PyTorch or TensorFlow Experience with cloud platforms (AWS preferred) Ability to contribute to the design of data engineering pipelines to feed and monitor Machine Learning applications Problem solving skills, to grasp and tackle loosely defined problems, and come up with relevant answers and impactful insights Strong communication and collaboration skills, which make you comfortable working with multiple stakeholders Fluency in English, both written and spoken Ability to define optimization problems, and experience with optimization SW frameworks is a strong plus Knowledge of MLOps methodology is a plus Experience in the Fintech industry is a plus You are: Highly organized and able to work both in team and independently An excellent communicator and relationship builder A very quick learner and adapts fast Enthusiastic about taking on new challenges and to work under pressure in a fast-paced international environment Proactive thinker, with the ability to ‘think outside the box’ Results-oriented, easy-going, entrepreneurial and passionate about your work Knowledge of French or other European languages is considered a plus. Logistic & Salary The role is based in Milan with a hybrid work policy. We offer a competitive salary, commensurate with experience. Stock options plan available. The selection process Once we receive your CV, we will take time to evaluate it carefully. Should there be a match for this or any other position at the Company, we will be in touch with you. Our selection process may vary in the number and order of steps but generally includes HR interview, technical evaluation and final meeting in person. In case there is no match at the moment don’t worry, we will make sure to keep your cv in consideration for future vacancies Satispay is an equal opportunity employer, we do not discriminate on the basis of race, color, religion, sexual orientation, gender identity or national origin. We promote the inclusion and work integration of people belonging to protected categories – as regulated by Law 68/99. This job opportunity is addressed to both sexes, in accordance with Laws 903/77 . LI-DNI Job Summary ID: 2FEFC3D5C8 Department: Tech & Product Type: full time