As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We are Delivery Hero.
We are looking for a Senior Data Scientist to join the Logistics Optimization team on our journey to always deliver amazing experiences.
The Optimization Tribe's purpose is to maximize Delivery Hero's logistics performance. As a Data Scientist, your value lies in tackling these fascinating problems head-on and building ML products which provide critical inputs in solving the dispatching problem to meet our long-term goals of best-in-class efficiency and service, making a tangible impact across the Delivery Hero network.
Lead the conceptualization and design of advanced modeling solutions (ML, Statistics or Mathematical) to tackle complex, large-scale Logistics challenges, ensuring alignment with business value and stakeholder needs.
Take ownership of developing, implementing, and automating robust data science models and pipelines, including feature generation, retraining, and prediction deployment, leveraging tools like BigQuery and Spark as needed.
Actively drive technical discussions and problem-solving sessions, contributing significant expertise and innovative ideas to overcome the toughest modeling hurdles alongside your Data Science peers and squad lead.
Proactively engage with Data & ML Engineering and Tech teams to define critical data requirements and influence technical roadmaps, ensuring the necessary data infrastructure for impactful projects.
Make a significant impact within our fast-paced, global organization by delivering high-quality solutions, sharing knowledge, and contributing to the team's overall growth and best practices.
You have significant experience (ideally 5+ years) designing and implementing diverse machine learning models (e.g., You possess expert-level Python skills (incl. pandas, scikit-learn, etc.), proficiency in SQL, and demonstrable experience building robust, maintainable, and automated ML pipelines using Big Data technologies (e.g., Airflow, Metaflow), applying software engineering best practices.
You excel at translating ambiguous business requirements into well-defined technical problems and data science solutions, critically evaluating assumptions and ensuring data quality throughout the process.
You are a proactive team player with proven experience collaborating effectively with peers and cross-functional teams (like Data Engineering and Tech) in a fast-paced, dynamic environment. Fluency in English is required.
Experience building interactive data visualizations, applications, or dashboards using libraries like Streamlit, Plotly Dash, or similar tools to communicate results effectively.
Some experience with formulating and solving optimization problems relevant to logistics would be nice.
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 week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy
Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
The power of getting together over some food is unrivaled. Digital Meal Vouchers, Food Vouchers, Corporate Discounts. If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application.