Senior Data Scientist - Marketing (m/f/d)

About the role

We are a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million dr

Benefits

Additional Information

At SIXT, data is at the heart of every smart marketing decision. As part of our Marketing Analytics team, you will work at the intersection of advanced statistical modelling, causal inference, and performance marketing - helping us understand the true impact of our investments and steer budgets more effectively across channels. You will collaborate with marketing stakeholders and cross-functional partners to turn complex model outputs into clear, actionable insights. If you're passionate about using cutting-edge methods to solve real business problems, join Team Orange and apply now. YOUR ROLE AT SIXT You uncover the true incremental impact of marketing investments using experimental and quasi-experimental methods - including Difference-in-Differences, Interrupted Time Series, and Bayesian Structural Time Series - to establish causal evidence where traditional A/B tests are impractical or unavailable You develop and maintain proprietary response-curve and elasticity models to reduce reliance on platform-native estimates and support better budget allocation decisions across channels and campaign types You support the development and maintenance of a Marketing Mix Model (MMM), contributing to model specification, prior elicitation, and validation, and translating outputs into actionable budget allocation recommendations You help extend the team's bid-target steering framework beyond Google Search Ads to channels such as Display, Meta, and Bing Ads, adapting modelling approaches to each channel's measurement and data characteristics You explore and evaluate data-driven attribution approaches, using web behavioural data to understand the customer journey and benchmark against existing third-party attribution You present model findings clearly to marketing and cross-functional stakeholders, contributing to internal dashboards and Streamlit applications that operationalise your work YOUR SKILLS MATTER Statistical Modelling & Causal Inference: You have a solid grounding in Bayesian methods, causal inference (e.g. DiD, Interrupted Time Series, BSTS), and quasi-experimental design; familiarity with PyMC or comparable probabilistic programming tools is a strong plus Python & Data Stack: You are proficient in Python with hands-on experience using Pandas, NumPy, Scikit-learn, and visualisation libraries such as Matplotlib and Plotly, comfortable working in both notebooks and production codebases SQL & Cloud Infrastructure: You bring strong SQL skills and practical experience querying large datasets in AWS environments, ideally using Athena or Redshift; familiarity with Airflow or similar orchestration tools is a plus Machine Learning: You have a solid understanding of supervised and unsupervised ML techniques, model evaluation, and how to take a model from experimentation to a reliable, maintainable production output Online Marketing Knowledge: You are familiar with paid search and/or display advertising - including how campaign structures work, what tROAS and tCPA mean in practice, and how performance marketing metrics connect to business outcomes Communication & Collaboration: You can translate complex model outputs into clear, actionable narratives for marketing and business stakeholders; experience with Streamlit or a comparable dashboarding tool, as well as GenAI-assisted development approaches such as Spec-Driven Development, is a plus

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