Senior Data Scientist - Logistics & Workforce | Senior Data Scientist - (Logistics, Workforce)
Delivery Hero SE
Job Summary
As a Senior Data Scientist in the Logistics team, you will play a pivotal role in optimizing Delivery Hero's global last-mile delivery operations across 70+ countries. Your day-to-day will involve conceptualizing and building advanced modeling solutions using Machine Learning and Operations Research to improve experience for millions of daily orders. You will collaborate closely with stakeholders and engineering squads to automate model retraining and prediction generation, while also designing rigorous A/B tests to validate platform changes. This role is highly attractive for those seeking to work with massive datasets in a BigQuery and Spark environment at one of Europe's largest tech platforms. Based in Berlin, the position offers a hybrid work model, significant professional development budgets, and the opportunity to solve complex real-world logistics challenges at an immense scale.
Required Skills
Education
Not specified
Experience
- 5+ years of experience applying machine learning methods to real-world datasets
- Professional experience with Python and scientific libraries including NumPy, Pandas, and Scikit-learn
- Proven track record in solving regression and classification problems using linear and non-linear models
- Experience working with (semi-)structured data in Big Data environments like BigQuery or Spark
- Experience in designing and analyzing statistical A/B tests for product growth
Languages
Additional
- Location: Berlin, Germany (Hybrid model: 2 days per week on-site). Requires ability to work with large-scale logistics and workforce data.
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