Senior Data Scientist (Causal Inference & Measurement)

Kats Recruitment; München; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading recruitment agency is seeking a Senior Data Scientist in Munich. This role requires expertise in causal inference, experience in data science, and strong Python skills. The successful candidate will evaluate causal impacts on pricing and marketing. The company offers a competitive salary, generous time-off, and a flexible hybrid work model in a modern office environment.

Leistungen

Competitive salary package

Generous time-off policy

Training and development budget

Employee benefits including mobility discounts

Qualifikationen

• 5+ years of experience in data science focusing on causal inference.
• Expertise in econometric methods like DiD and RDD.
• Comfortable deploying models in production.

Aufgaben

• Design and implement frameworks for causal impact evaluation.
• Collaborate with product and engineering teams.
• Translate analysis into practical solutions.

Kenntnisse

Causal inference methods

Python programming

Experience with large data sets

SQL proficiency

Stakeholder management

Ausbildung

Bachelors or Masters degree in relevant field

PhD preferred

Tools

Machine learning libraries

Jobbeschreibung

Senior Data Scientist - Causal Inference & Measurement

About Us
At Kats Recruitment, we specialise in connecting top-tier data science talent with leading global employers across Europe. Our partner in Munich is a dynamic, international mobility or transport technology company committed to innovation, data-driven decision making and leveraging advanced causal-inference techniques to drive business outcomes. If you thrive on complex methodological challenges and want to advance your career in a high-impact environment, this could be your next move.

About the Role
As a Senior Data Scientist focused on causal inference and measurement, you will design and implement frameworks to evaluate the causal impact of pricing, marketing and product initiatives. You will utilise advanced statistical and econometric methods including experiment design, quasi-experimental methods and machine-learning-augmented causal models to provide insights that directly inform strategy. The role involves strong collaboration across product, engineering and business teams, and requires translating rigorous analysis into practical, deployable solutions.

Requirements

• Bachelors or Masters degree (PhD preferred) in Statistics, Econometrics, Mathematics, Computer Science or related quantitative discipline.
• Minimum 5 years of experience in data science with a focus on causal inference, ideally in pricing, revenue management or marketing measurement.
• Proven expertise in methods such as: difference-in-differences (DiD), regression discontinuity design (RDD), synthetic control methods, instrumental variables (IV), propensity score matching/weighting, and Double Machine Learning.
• Strong programming skills in Python (and/or R), experience with relevant libraries and comfortable working with large, complex data sets and SQL.
• Ability to build, deploy and maintain algorithms/models into production systems with scalability and repeatability in mind.
• Excellent communication and stakeholder-management skills: able to explain advanced methods and results to technical and non-technical audiences.
• Comfortable working in a hybrid or flexible-work model in Munich, Germany.
• EU citizenship or a valid EU work permit for Germany is mandatory.

What We Offer

• Competitive salary package and benefits aligned to the experience and impact of the role.
• Generous time-off policy (e.g., 28 days vacation + birthday off + volunteer day) and flexible working arrangements.
• Hybrid work model, modern office in Munich and no strict dress code.
• Training and development budget, access to conferences, professional growth in the rapidly evolving field of causal inference.
• Employee benefits including mobility discounts, product/service perks, health-care & wellness support.
• A highly international, collaborative team environment where your contributions influence real business decisions and impact millions of customers.

Join Us!
If youre ready to take on a role where youll truly influence business strategy through causal modelling, experiment design and production-scale analytics wed love to hear from you. Apply today and let us support you in taking your next career step with confidence with Kats Recruitment guiding you all the way.