Senior Data Scientist, Forecasting & Elasticity (m/f/x)

<p style="text-align:start;"><strong>Ready to become part of the most important mission on this planet?</strong> </p><p style="text-align:start;">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.</p><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;">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.</p><p style="min-height: 1.7em;"></p><h3>The Role </h3><p style="text-align:start;">We are looking for a <strong>Senior Data Scientist</strong> to join our Data Science &amp; 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.</p><p style="text-align:start;min-height: 1.7em;"></p><p style="text-align:start;">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.</p><p><br></p><h3><strong>Key Responsibilities:</strong></h3><ul><li><p><strong><span style="color:#5a5f72">Own</span></strong><span style="color:#5a5f72"> 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 monitoring</span></p></li><li><p><strong><span style="color:#5a5f72">Scale</span></strong><span style="color:#5a5f72"> the forecasting architecture to meet growing demand for granular, product-level forecasts</span></p></li><li><p><strong><span style="color:#5a5f72">Design and run</span></strong><span style="color:#5a5f72"> pricing experiments and A/B tests, and turn the results into clear, strategic recommendations for leadership</span></p></li><li><p><strong><span style="color:#5a5f72">Generate commercial insights</span></strong><span style="color:#5a5f72"> through deep-dive analyses of pricing elasticity, customer behavior, market dynamics, and competitive positioning</span></p></li><li><p><strong><span style="color:#5a5f72">Partner with</span></strong><span style="color:#5a5f72"> senior stakeholders across Commercial, Marketing, Product, and Operations to surface opportunities and solve complex business problems</span></p></li><li><p><strong><span style="color:#5a5f72">Establish best practices</span></strong><span style="color:#5a5f72"> for analytics, experimentation, commercial decision-making, and AI usage — and automate the reporting that keeps models and decisions visible</span></p></li></ul> <br> <h3><strong>Requirements:</strong></h3><ul><li><p><strong><span style="color:#5a5f72">5+ years in a Data Science role</span></strong><span style="color:#5a5f72">, 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)</span></p></li><li><p><strong><span style="color:#5a5f72">A quantitative degree </span></strong><span style="color:#5a5f72">in Machine Learning, Computer Science, Mathematics, Physics, or a related field</span></p></li><li><p><strong><span style="color:#5a5f72">Strong foundations</span></strong><span style="color:#5a5f72"> in statistics, predictive modeling, and machine learning, with hands-on Python and SQL</span></p></li><li><p><strong><span style="color:#5a5f72">Hands-on experience with time series forecasting</span></strong><span style="color:#5a5f72"> — modeling, feature engineering, and evaluation</span></p></li><li><p><strong><span style="color:#5a5f72">Experience designing and running A/B tests</span></strong><span style="color:#5a5f72"> and experiments with measurable business impact</span></p></li><li><p><strong><span style="color:#5a5f72">A proactive, self-starting mindset</span></strong><span style="color:#5a5f72"> — you own a domain end-to-end and care about pricing, forecasting, and e-commerce dynamics</span></p></li><li><p><strong><span style="color:#5a5f72">Strong stakeholder management</span></strong><span style="color:#5a5f72"> and comfort presenting to and influencing senior leadership</span></p></li></ul><h4><span style="color:#7a7e8d">Preferred:</span></h4><ul><li><p><span style="color:#5a5f72">You use AI tools daily to work faster and push what's possible</span></p></li><li><p><span style="color:#5a5f72">Knowledge of causal inference methods and advanced experimental design</span></p></li><li><p><span style="color:#5a5f72">Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI)</span></p></li><li><p><span style="color:#5a5f72">Experience in sustainability-focused or circular economy businesses</span></p></li></ul><p style="min-height: 1.7em;"></p><h3><strong>Location:</strong></h3><ul><li><p>Berlin</p></li><li><p>Hybrid model (Must be willing to work from the office at least 2 days a week)</p></li></ul><p><br></p><h3><strong>Purpose, a great company culture and incredible benefits - what to expect at rebuy:</strong></h3><ul><li><p>Work with a friendly team that is passionate about circularity and wants to make the world a little more sustainable, one transaction at a time.</p></li><li><p>Feel comfortable in an environment where independence and new ideas are welcome.</p></li><li><p>Benefit from flat hierarchies and the greatest possible transparency so that things don't take longer than they have to and you always feel well informed.</p></li><li><p>Enjoy our centrally located office in Berlin (Erkelenzdamm 11 - 13, 10999 Berlin).</p></li><li><p>Benefit from our family-friendly, flexible environment and paid child sick leave.</p></li><li><p>Bring your dog to the office: we love animals and want to cuddle yours, too!</p></li><li><p>Use employee discounts on <a rel="noopener" target="_blank" href="https://www.rebuy.de/">rebuy.de</a>, sustainable products at <a rel="noopener" target="_blank" href="https://www.futurebens.co/">Futurebens</a>, offers for sustainable micro-mobility and massages directly in our office.</p></li><li><p>Have fun at our legendary team and company events.</p></li><li><p>Use our mental health offers as part of a cooperation with <a rel="noopener" target="_blank" href="https://nilohealth.com">Nilo</a>.&nbsp;</p></li><li><p>Take care of your work-life balance with 30 vacation days.</p></li><li><p>Stay active with our own gym located directly in the building, making it easy to fit workouts into your daily routine.</p></li><li><p>Benefit from an on-site daycare in the building, supporting a truly family friendly and flexible working environment.</p></li></ul><p>*At rebuy all people are welcome and supported! We would like to talk, regardless of age, disability, national and social origin, skin color, religion, gender identity and sexual orientation. Just be who you are.</p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>