Senior Data Scientist

As the world's pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ 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 enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. 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. We achieve this by owning and continuously improving the sophisticated algorithm that solves the real-time vehicle routing problem, assigning orders efficiently every minute. This directly impacts DH's core efficiency and customer satisfaction KPIs, influencing decisions for stakeholders from Operations to Product. 

As a Data Scientist, your value lies in tackling these fascinating problems head-on and building ML products which shape the algorithm's logic and decisions 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.

• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics.

• 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., regression, classification, tree-based ensembles) to solve real-world business problems, backed by a strong theoretical foundation in statistics and probability.

• 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., BigQuery, Spark) and workflow orchestration tools (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 strong communicator, capable of clearly explaining complex technical concepts, model intuition, and business implications to diverse audiences (both technical and non-technical stakeholders).

• 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.

Nice to have: 

• Proven track record in designing, implementing, and analyzing complex experiments (beyond standard A/B tests) or applying causal inference methods.

• 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.

Ensuring 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 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.

• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

• Cash. Dough. Cheddar. 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. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
  
  

Ready to join our team? If you're excited to grow, collaborate and be part of the world's leading delivery platform, we'd love to hear from you. Apply today

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, 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. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.