(Senior) Data Scientist / Data Engineer (m/w/d)

We are looking for a Senior Data Scientist to join the Logistics Optimization team on our journey to always deliver amazing experiences.

The Optimization Tribes purpose is to maximize Delivery Heros logistics performance. As a Data Scientist your value lies in tackling these fascinating problems head-on and building ML products which shape the algorithms 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.

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 teams 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. 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 well 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. Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed 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 experiencejust include it in your application. Remote Work :

Full-time