Senior Data Scientist - (Logistics, Optimization)

Senior Data Scientist - Logistics Optimization

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, moving fast, taking action, and adapting to deliver the best customer service. No matter where you’re from or what you believe in, we build, deliver, and lead.

Job Description

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 by owning and continuously improving the sophisticated algorithm that solves the real‑time vehicle routing problem, assigning orders efficiently every minute. Your work will impact DH’s core efficiency and customer satisfaction KPIs, influencing decisions for stakeholders from Operations to Product.

Responsibilities

• Lead the conceptualization and design of advanced modeling solutions (ML, Statistics, or Mathematics) 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 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.

Qualifications

• 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.
• 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).
• 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.
• Strong communicator, capable of clearly explaining complex technical concepts, model intuition, and business implications to diverse audiences (both technical and non‑technical stakeholders).
• 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 advantageous.

Additional Information

• Hybrid working model: join us for face‑to‑face connection and collaboration at our beautiful Berlin campus 2 days a week.
• 27 days holiday with an extra day on the 2nd and 3rd year of service.
• Support for your career growth: €1,000 educational budget, language courses, parental support, and access to the Udemy Business platform.
• Health and wellness: health checkups, meditation, yoga, gym & bicycle subsidies.
• Financial benefits: Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, corporate pension plan.
• Meal & food vouchers with corporate discounts.

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!

Diversity and Inclusion

We believe diversity and inclusion are key to creating an exciting product and an amazing customer and employee experience. 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.

Job Details

• Seniority Level: Mid‑Senior
• Employment Type: Full‑time
• Job Function: Information Technology
• Industry: Software Development and IT Services and IT Consulting

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