OverviewYour missionYou 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!
ResponsibilitiesDevelop, enhance, and optimize methods for acquiring, extracting, and processing product and catalog data to ensure accuracy, consistency, and relevance for analysis and downstream applications.Apply statistical modeling and Machine Learning to build, validate, and maintain models that predict and optimize key catalog and product metrics, such as relevance and availability.Design and implement recommendation algorithms tailored to customer behavior, with both supervised and unsupervised learning techniques to improve user engagement and experienceDesign and implement AI-powered workflows that identify potential new products outside the current catalog, evaluate their fit with the company’s offering and financial models, and support integration into the catalog, including subscription price optimization and availability monitoringWork closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability.
QualificationsMinimum of 5-6 years of experience in similar role in Data Science or Machine LearningDegree in Mathematics, Physics, Computer Science, Statistics or similarExcellence programming knowledge in PythonHands-on experience with Large Language Models (LLMs)Experience with Statistical Analysis and Machine LearningAnalytical and data orientedExcellent knowledge of the English languageTeam-work and goal-oriented approach
What we offerAn incredibly talented teamExtreme learning curveFast growth opportunitiesMotivation, inspiration and challengesFlexibility and total transparencyCompetitive salaryWelfareStock options and performance bonuses
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