Data Scientist Milano

Data Scientist
Milano
Lombardia, Milano

You will transform complex datasets into actionable insights, by applying advanced analytics, machine learning, and predictive modeling to solve challenging business problems. You will also design and implement data-driven solutions across multiple areas, including product insights, trend forecasting, and fraud detection. Sub to freedom. Freedom of choosing what you need, for how long you need it, without any sort of commitment. Freedom to change your mind and your behavior, whenever you want. Freedom of trying something new, without needing to worry if you don't like it. Freedom from debts and commitment. If you can't carry on, cancel. Whenever. Freedom from purchasing and producing waste. Give it back when you don't need it anymore, we'll give it a new life. Our mission is ambitious: to create and consolidate an alternative consumption model based on a simple monthly fee to achieve circularity and financial sustainability. Easy to say, harder to do. That's why we need you A few examples of your daily tasks Develop, enhance, and optimize methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for analysis. Utilize statistical modeling and Machine Learning to build, validate, and maintain models for predicting and optimizing key performance metrics. Design and implement recommendation algorithms tailored to customer behavior, with both supervised and unsupervised learning techniques to improve user engagement and experience. Apply pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platform. Work closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability. Is this you? Minimum of 2-3 years of experience in a similar role in Data Science or Machine Learning. Degree in Mathematics, Physics, Computer Science, Statistics or similar. Good programming knowledge in Python. Experience with Statistical Analysis and Machine Learning. Analytical and data-oriented. Excellent knowledge of the English language. Teamwork and goal-oriented approach. Ability to work independently with high problem-solving skills. Down to earth and open to take a step back if needed. Motivated to build an empire. What we offer An incredibly talented team. Extreme learning curve. Motivation, inspiration, and challenges. Flexibility and total transparency. Welfare. Stock options and performance bonuses. Seniority level Not Applicable Employment type Full-time Job function Consumer Services J-18808-Ljbffr