Sr Data Scientist - Causal Interference - Munich, Germany

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.

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!