Senior Data Scientist (Logistics)

TL;DR

Senior Data Scientist (Logistics/ML): Optimizing on-demand last-mile delivery operations for millions of orders across 70+ countries with an accent on machine learning and operations research. Focus on conceptualizing modeling approaches, automating model retraining, and designing rigorous A/B tests to drive product growth.

Location: Hybrid (Berlin, Germany) — must be based in or be able to relocate to Berlin

Company

World’s pioneering local delivery platform operating in over 70 countries, headquartered in Berlin.

What you will do

• Conceptualize and implement modeling approaches for large-scale logistics challenges.
• Innovate solutions using Machine Learning, Operations Research, and Statistics to drive business value.
• Engineer automated solutions for model retraining and prediction generation.
• Collaborate with data engineering and tech teams to define data needs and roadmaps.
• Process semi-structured data using BigQuery and Spark within a DWH architecture.

Requirements

• 5+ years of experience applying ML methods to real-world datasets.
• Fluency in Python and scientific libraries (NumPy, Pandas, Scikit-learn, Matplotlib, Plotly).
• Proficiency in SQL and Big Data platforms such as BigQuery or Spark.
• Experience with regression, classification, and ensemble models (Random Forest, XGBoost, LightGBM, CatBoost).
• Ability to design, execute, and analyze rigorous A/B tests.
• Must be able to work from the Berlin campus 2 days a week.

Nice to have

• Experience with Time-Series Forecasting.
• Knowledge of Operations Research and Statistics.

Culture & Benefits

• Hybrid working model with a modern Berlin campus.
• 27 days of holiday, increasing with tenure.
• €1,000 educational budget, language courses, and access to Udemy Business.
• Health checkups, meditation, and gym/bicycle subsidies.
• Employee Share Purchase Plan, corporate pension plan, and life/accident insurance.
• Comprehensive relocation support for moving to Berlin.