<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Job Title: Data Scientist</strong></p><p><strong>Location: Berlin, Berlin, Germany</strong></p><p><strong>Type: Full Time</strong></p><p><br/></p><p>Our Client is seeking a highly analytical Data Scientist to join a dynamic team focused on optimizing courier pay and incentive systems. This role sits at the intersection of machine learning, economics, and logistics, working on real-time models that impact operational efficiency and user experience.</p><p><br/></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and validate machine learning models for courier compensation, including surge pricing, incentive programs, and earnings optimization</li><li>Build and engineer features from operational datasets to improve model performance</li><li>Design and execute experiments (A/B testing, switchback, geo-based) to measure impact of pricing and incentive strategies</li><li>Translate complex analytical outputs into clear, actionable insights for stakeholders</li><li>Collaborate with ML Engineers and Operations Research teams on cross-functional initiatives</li><li>Apply best practices in coding, version control, testing, and model deployment</li><li>Automate model retraining, validation, and evaluation workflows</li><li>Monitor and maintain model performance in live production environments</li><li>Contribute to the development of real-time, low-latency decision systems</li></ul><p><br/></p><p><strong>Required Skills &amp; Experience</strong></p><ul><li>Hands-on experience building and deploying ML models in production</li><li>Strong proficiency in Python and SQL</li><li>Solid understanding of supervised learning techniques (regression, classification, gradient boosting)</li><li>Experience with time-series modeling and predictive analytics</li><li>Strong foundation in experimental design and causal inference</li><li>Familiarity with ML Ops practices (Git, pipelines, monitoring)</li></ul><p><br/></p><p><strong>Preferred Experience</strong></p><ul><li>Exposure to real-time or low-latency systems</li><li>Experience in marketplace experimentation (e.g., switchback testing, interference-aware designs)</li><li>Background or interest in incentive design, dynamic pricing, or labor economics</li><li>Experience solving problems in logistics or operations-focused environments</li></ul><p><br/></p><p><strong>What We’re Looking For</strong></p><ul><li>Strong analytical and problem-solving mindset</li><li>Ability to balance business impact, fairness, and cost efficiency</li><li>Collaborative team player with strong communication skills</li><li>Passion for applying data science to real-world operational challenges</li></ul> </div>