About the Role
Ready to become part of the most important mission on this planet? We are rebuy, pioneers in the sustainable reuse of electronics and media, and we are looking for you! Our mission: to make circular living accessible to all, one transaction at a time. By giving products a second chance, we reduce resource consumption and avoid unnecessary e-waste.Our global team of 500 drives things forward collaboratively, takes personal responsibility, values constructive critical thinking, and is dedicated to serving our customers and planet.The Role We are looking for a Senior Data Scientist to join our Data Science & Analytics team. You will own the forecasting and price elasticity models at the core of rebuy's pricing engine models that directly shape commercial decisions across the business. We care about outcomes, not just predictions: the work you do ships and moves the numbers that matter. We're scaling our impact significantly and need your expertise to take these models further.You'll own the full end-to-end lifecycle: from business context and model research to automated pipelines and retraining, working closely with senior leadership to translate model insights into commercial strategy.Key Responsibilities:Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoringScale the forecasting architecture to meet growing demand for granular, product-level forecastsDesign and run pricing experiments and A/B tests, and turn the results into clear, strategic recommendations for leadershipGenerate commercial insights through deep-dive analyses of pricing elasticity, customer behavior, market dynamics, and competitive positioningPartner with senior stakeholders across Commercial, Marketing, Product, and Operations to surface opportunities and solve complex business problemsEstablish best practices for analytics, experimentation, commercial decision-making, and AI usage — and automate the reporting that keeps models and decisions visible Requirements:5+ years in a Data Science role, ideally in e-commerce or marketplace environments, solving a range of real business problems (we care about what you've built, not your exact title or tenure)A quantitative degree in Machine Learning, Computer Science, Mathematics, Physics, or a related fieldStrong foundations in statistics, predictive modeling, and machine learning, with hands-on Python and SQLHands-on experience with time series forecasting — modeling, feature engineering, and evaluationExperience designing and running A/B tests and experiments with measurable business impactA proactive, self-starting mindset — you own a domain end-to-end and care about pricing, forecasting, and e-commerce dynamicsStrong stakeholder management and comfort presenting to and influencing senior leadershipPreferred:You use AI tools daily to work faster and push what's possibleKnowledge of causal inference methods and advanced experimental designFamiliari