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About the Role
Join the Courier Pay & Incentives team to optimize driver pay using advanced analytics and machine learning. You will design incentive programs and develop predictive models to balance driver earnings with cost-efficiency and delivery performance within a logistics-focused environment.
Responsibilities
- Develop and validate ML models for courier compensation including dynamic earnings floors and incentive programs
- Build features from operational data and design experiments to measure model performance
- Execute causal experimentation at scale using A/B testing, switchback experiments, and geo-based designs
- Apply engineering best practices including clean code, version control, unit testing, and production monitoring
- Translate analytics outputs into actionable insights for stakeholders
- Collaborate with ML Engineers and Operations Research Scientists on cross-functional projects
- Identify opportunities to automate retraining, validation, and evaluation pipelines
- Monitor and maintain predictive performance in live production environments
Requirements
- Hands-on experience building and validating ML models in production
- Proficiency in Python and SQL
- Strong understanding of supervised ML techniques including regression, classification, and gradient boosting
- Experience with time-series modeling
- Solid conceptual grounding in experimental design, offline validation, and marketplace experimentation
- Exposure to ML Ops practices including Git, data pipelines, and model monitoring
Skills
- Python
- SQL
- Machine Learning
- Supervised Learning
- Time-series modeling
- Experimental design
- A/B testing
- Switchback testing
- ML Ops
- Git
- Data visualization
Location
- Berlin
Work Type
- Hybrid
- Full-time
About the Company
- Leading global online delivery platform
- Empowers everyday convenience by connecting customers with restaurant, grocery, and convenience partners
Equal Opportunity
- Committed to creating an inclusive culture, encouraging diversity of people and thinking, where all employees feel they belong