Senior Data Scientist

Munich - Germany

Monthly Salary: Not Disclosed

Posted on: 08-11-2025

Vacancies: 1 Vacancy

Job Summary

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 modelsto 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.

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...

Senior Data Scientist - Causal Inference & Measurement

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.