Berlin, Berlin, Germany
Strategic and results-driven Senior Data Science Leader with over 15 years of experience scaling AI/ML initiatives across global E-commerce, Logistics, and Energy sectors. Proven track record of directing cross-functional teams, shaping enterprise AI product roadmaps, and delivering high-impact solutions—including a global curation system driving ~€27M annual GMV uplift. Adept at bridging technical innovation with corporate objectives, managing stakeholder relationships across 70+ countries, and mentoring high-performing teams of PhD data scientists, ML engineers, and software developers to foster a culture of excellence and innovation.
• Strategic Leadership & Scaling: Directed a high-performing cross-functional department of Data Scientists, ML Engineers, and Software Developers, shaping the global AI product roadmap in collaboration with senior leadership. • Global Impact & Enterprise Strategy: Spearheaded the strategy and rollout of a global AI/ML product categorization system across 70+ countries, driving an annual GMV uplift of ~€27M and a 9% increase in Add-to-Cart (ATC) rate. • Business Growth & Cross-Functional Alignment: Architected advanced competition mapping engines and secured stakeholder buy-in to identify assortment gaps across chains/vendors, directly generating over €600K/month in new revenue. • Innovation & Process Optimization: Championed the adoption of advanced Vector Search and GenAI to revolutionize recommendation engines, saving millions in manual operational hours while boosting global product discoverability.
• Team Building & Management: Built, mentored, and led a diverse cross-functional team of 9-12 Data Scientists, Data Engineers, and Analysts, ensuring alignment with overarching business goals. • ROI & Cost Optimization: Partnered with business leaders to deploy an intermittent demand forecasting model for Comcast, successfully reducing inventory holding costs by $15M. • Revenue Strategy: Engineered an Intelligent Adaptive Pricing Mechanism using Rein- forcement Learning, driving a 10% revenue increase during pilot deployment. • Operational Excellence: Aligned data science outputs with supply chain operational goals, improving demand forecast accuracy from 75% to 90% for PepsiCo using a custom forecasting engine.
• Portfolio & Team Leadership: Managed a diverse ~1500MW energy portfolio (Thermal, Gas, Hydro) and directed a team of 5 engineers to ensure operational stability and efficiency. • Efficiency & Systems Strategy: Developed a real-time data-driven decision support tool, proactively reducing unplanned energy exchange losses by 10%. • Forecasting Systems: Engineered day-ahead demand forecasting systems utilizing Time-Series algorithms and Expert Systems to optimize power generation schedules.