Requirements

• At least 5 years of experience in Data Science and Machine Learning, including a minimum of 2 years focused on pricing-related challenges.
• Good expertise in econometrics, experimentation design, and causal inference.
• Hands-on experience building ML systems end to end, including testing, monitoring, scaling, and measuring impact.
• Skilled in Python programming, with experience in Pandas, NumPy, scikit-learn, and statistical hypothesis testing.
• Proactive mindset with ability to work independently and collaborate across product, analytics, and engineering teams.
• Excellent teamwork and strong verbal and written communication skills in English.

Nice to haves

• Experience with complex experimentation and causal inference.
• Product development experience in a technology company.
• Familiarity with cloud systems such as AWS, Azure, or Google App Engine.
• Ph.D. in a quantitative field.

What you'll be doing

• Working on the pricing engine to optimize customer prices and courier earnings, improving marketplace efficiency.
• Building automated exploration pipelines, estimating price elasticities, and solving optimization problems.
• Applying predictive modeling and causal inference to measure pricing impact and guide strategy.
• Collaborating with Pricing Analysts, Product Managers, Data Engineers, and Software Engineers to create end-to-end solutions.
• Deploying and validating solutions for millions of users, enabling fast feedback and measurable customer value.
• Rapidly deploying models to production using AWS and internal ML platforms with tools like Python, Spark, Presto, SageMaker, and Airflow.
• Engaging in knowledge exchange with Data Scientists across seniority levels to foster learning and innovation.
• Tackling diverse, real-world challenges across the pricing domain using advanced data science and econometric techniques.

Perks and benefits

• Opportunity to build the future of mobility and transform urban living and movement.
• Work on large-scale challenges spanning technology, operations, regulation, and growth.
• Take real ownership early within small, lean teams ensuring impactful decisions from day one.
• Join a leading European technology company backed by world-class investors including Sequoia.
• Inclusive and diverse workplace committed to equal opportunity and accommodating all applicants.