We believe in connecting great people with great opportunities.

Our team is currently recruiting for a client in Germany, and we would be delighted to have you explore this opening.

• Designed and implemented advanced frameworks to measure the causal effects of pricing and revenue optimization initiatives.
• Applied cutting-edge causal inference methods to guide strategic decision-making in revenue management.
• Structured and analyzed experiments using DiD, RDD, synthetic controls, A/B testing, and Double Machine Learning to evaluate impact and inform policy.
• Built scalable algorithms and tools for causal estimation, ensuring accuracy and seamless integration into production systems.
• Collaborated with product managers, data engineers, and software developers to deliver end-to-end solutions powered by causal insights.
• Stayed current with research in causal analysis while mentoring junior team members and fostering knowledge growth.

• 5+ years of experience in Data Science with specialization in causal inference, particularly in pricing and marketing contexts, including work with sparse and volatile datasets.
• Demonstrated expertise in designing and deploying causal frameworks to measure and validate the impact of revenue management and pricing strategies.
• Strong foundation in statistical modeling and advanced causal inference methodologies.
• Skilled in Double/Debiased Machine Learning (Double ML) for causal effect estimation using combined machine learning models.
• Proficient in building and interpreting Causal Graphs and Structural Causal Models (DAGs) for robust causal identification.
• Advanced application of Propensity Score Matching and Weighting to estimate treatment effects in observational studies.
• Hands-on experience with Instrumental Variables (IV) and Synthetic Control Methods to assess causal impacts in complex environments.
• Applied Difference-in-Differences (DiD) and Regression Discontinuity Design (RDD) to evaluate causal effects over time.
• Fluent English. German is a plus

• 28 vacation days
• Hybrid model with flexible working hours
• Partner discounts
• Training programs, external conferences, and internal talks
• Private health insurance

Apply now!