Data Scientist

Job Title: Data Scientist

Location: Berlin, Berlin, Germany

Type: Full Time

Our Client is seeking a highly analytical Data Scientist to join a dynamic team focused on optimizing courier pay and incentive systems. This role sits at the intersection of machine learning, economics, and logistics, working on real-time models that impact operational efficiency and user experience.

Key Responsibilities

Develop and validate machine learning models for courier compensation, including surge pricing, incentive programs, and earnings optimization

Build and engineer features from operational datasets to improve model performance

Design and execute experiments (A/B testing, switchback, geo-based) to measure impact of pricing and incentive strategies

Translate complex analytical outputs into clear, actionable insights for stakeholders

Collaborate with ML Engineers and Operations Research teams on cross-functional initiatives

Apply best practices in coding, version control, testing, and model deployment

Automate model retraining, validation, and evaluation workflows

Monitor and maintain model performance in live production environments

Contribute to the development of real-time, low-latency decision systems

Required Skills & Experience

Hands-on experience building and deploying ML models in production

Strong proficiency in Python and SQL

Solid understanding of supervised learning techniques (regression, classification, gradient boosting)

Experience with time-series modeling and predictive analytics

Strong foundation in experimental design and causal inference

Familiarity with ML Ops practices (Git, pipelines, monitoring)

Preferred Experience

Exposure to real-time or low-latency systems

Experience in marketplace experimentation (e.g., switchback testing, interference-aware designs)

Background or interest in incentive design, dynamic pricing, or labor economics

Experience solving problems in logistics or operations-focused environments

What We’re Looking For

Strong analytical and problem-solving mindset

Ability to balance business impact, fairness, and cost efficiency

Collaborative team player with strong communication skills

Passion for applying data science to real-world operational challenges