Staff Data Scientist, Dmarts - Quick Commerce

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Staff Data Scientist, Dmarts - Quick CommerceFull-timeCompany DescriptionAs the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.Job DescriptionWe are on the lookout for a Staff Data Scientist in Quick Commerce to join our team and help us take our forecast and operations to the next level.Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.The team's mission is to improve vendors' experience and bring value to the critical path of supply chain process through data science and data engineering. You will be working with an international and experienced team, shaping the experience for millions of customers who order daily through our platform.You’ll bring in World-Class AI and ML Expertise to help design, build, and maintain the features and ML models that behind our operations. You'll drive engineering excellence and collaborate closely with our fellow colleagues.Join us in building and maintaining this mission-critical service!  Develop, test, and productionize forecasting algorithms using state-of-the-art machine learning, statistical inference, and optimization models.Contribute to building our models for personalized recommendations.Work in cross-functional teams across disciplines such as product, engineering and design.Own technical strategy and long-term vision for ML platform architecture; guide teams across the org on ML strategy and integration, ensuring reliability and stabilityStay on top of new technologies and industry trends in data science, customer analytics, and retention strategies. Define and evangelize ML/DS best practices, standards, and frameworks across the QCommerce Operations Tribe and related domainsQualifications9+ years of experience in Data Science designing robust end-to-end data workflows, and at least 5 years of experience with forecasting techniques or optimizationProven track record building or scaling ML platforms across the full lifecycle.Experience defining and implementing ML best practices and standards at scaleSolid programming skills in Python, Docker and cloud platforms (AWS or GCP).Deep operational knowledge of AI frameworks (e.g., TensorFlow, PyTorch) and experience with LLMsProven ability to influence and align stakeholders across organizational boundaries without direct authorityExcellent written and verbal communication skills in English.Nice to haves:Familiarity with orchestration tools (e.g., Airflow, Kubeflow, MLflow).Expertise in supply chain planningAdditional InformationEnsuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a weekWe offer 27 days holiday with an extra day on 2nd and 3rd year of serviceWe will support you in developing yourself and your career growth opportunities: 1.000 € Educational...