Workster is excited to be recruiting for an experienced Senior Data Scientist – Causal Inference to join a forward-thinking technology leader based in Munich, Germany. This is your opportunity to contribute to innovative, data-driven decision making within a high-impact, international team shaping the future of B2B solutions.

Key Responsibilities – Senior Data Scientist Causal Inference Jobs in Munich

• Lead end-to-end causal inference projects to assess business strategies, interventions, and product enhancements in a real-world environment.
• Design robust experiments including A/B tests, quasi-experimental methods, and observational studies, ensuring polices are guided by solid statistical evidence.
• Apply advanced statistical, econometric, and machine learning techniques to uncover insights about causality and drive actionable recommendations.
• Collaborate cross-functionally with Data Engineering, Product, and Business stakeholders to translate complex data challenges into clear, impactful solutions.
• Mentor and upskill team members in state-of-the-art approaches to causal modelling, fostering a culture of continuous learning and excellence.
• Communicate findings persuasively to both technical and non-technical audiences, supporting data-driven strategy at every organisational level.
• Stay at the forefront of developments in causal inference, data science, and AI, and evaluate opportunities to introduce novel methodologies or tools.

Requirements and Qualifications – Causal Inference Data Scientist Career Munich

• Master’s degree or PhD in Statistics, Computer Science, Mathematics, Econometrics, or a closely related discipline.
• Substantial experience applying causal inference techniques (e.g. propensity score matching, difference-in-differences, instrumental variables, regression discontinuity, randomised controlled trials) in a commercial or research context.
• Solid programming skills in Python and/or R, with proficiency in relevant libraries such as pandas, statsmodels, scikit-learn, or PyMC.
• Demonstrated ability to work with large, complex datasets using SQL and contemporary data platforms.
• Excellent written and verbal English communication skills – German language knowledge is an asset but not essential.
• Strong stakeholder engagement abilities, adept at translating data insights into business value and operational impact.
• A proactive, collaborative mindset and a commitment to promoting diversity, equity, and inclusion in all team interactions.

Benefits – Senior Data Scientist Opportunities in Germany

• Competitive and transparent salary structure, with performance-linked bonuses.
• Relocation support and visa sponsorship for eligible candidates moving to Munich.
• Flexible working arrangements, including hybrid and remote options.
• Comprehensive private health insurance and wellness initiatives.
• Generous annual leave, learning budget, and access to professional development resources.
• Dynamic and welcoming working culture, celebrating innovation, autonomy, and teamwork.
• Modern, well-located office in the heart of Munich, with excellent public transport connections.

Why Build Your Career in Data Science with Causal Inference in Munich?

• Drive real-world impact as you enable evidence-based decisions across pioneering B2B products and services.
• Collaborate with talented international colleagues at the leading edge of data science and AI.
• Enjoy Munich’s vibrant, multicultural environment and exceptional quality of life while progressing your career.
• Join an organisation committed to sustainability, diversity, and continuous advancement in all aspects of business and technology.

Next Steps – Apply for Senior Data Scientist Causal Inference Jobs in Munich

If you are passionate about causal inference, eager to solve complex challenges, and ready to make your mark in a diverse, high-growth company, apply now to join our team in Munich!