Jobs in Germany

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  • Munich

  • 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.

    Tasks

    • 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.

    Requirements

    • 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

    Benefits

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

    Apply now!

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