Machine Learning Engineer | Marketing (m/f/d)

Job Description

Join our team of machine learning experts to bring cutting-edge causal inference models and algorithms into production at scale. Collaborate closely with data scientists to deploy, optimize, and maintain models that drive performance marketing, portfolio optimization, and large-scale ad automation. You will build robust and scalable pipelines, ensuring these advanced solutions deliver actionable insights and measurable impact in real-world applications.

YOUR ROLE AT SIXT

You work with data scientists to deploy causal inference models for online marketing, including A/B testing, difference-in-differences, propensity score matching, and double machine learning, in real-world systems. You design and maintain machine learning pipelines that support model deployment, making sure they are reliable, scalable, and work well with existing tools and platforms. You collaborate with product managers, engineers, and data scientists to turn experimental models into working systems that support business goals. You monitor model performance, accuracy, and speed, and make regular updates to keep models effective as business needs change. You automate routine tasks and build systems that can handle large amounts of data and support fast model responses. You document your work and share technical details and results with both technical and non-technical team members to support collaboration and understanding.

Qualifications

YOUR SKILLS MATTER

You engineer and maintain production-grade machine learning systems, ensuring robustness, scalability, and high availability in real-world environments. You leverage Python and industry-standard ML frameworks like TensorFlow, PyTorch, and Scikit-learn to build and operationalize intelligent models. You design and orchestrate end-to-end ML workflows using tools such as MLflow and Apache Airflow, enabling reproducibility, automation, and model governance at scale. Youdevelopanddeploy containerized microservices using Docker and Kubernetes, and integrate with RESTful APIs to support modular, cloud-native architectures. You apply causal inference techniques—including A/B testing, difference-in-differences, and propensity score matching—to support data-driven pricing and experimentation strategies. You work hands-on with cloud platforms likeAWS and big data technologies such as Apache Spark, Dask, or Polars, enabling distributed processing and efficient offline learning pipelines.

Additional Information

WHAT WE OFFER

Generous Time OffEnjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per yearWork-Life Balance & FlexibilityBenefit from a hybrid working model, flexible working hours, and no dress codeGreat Employee BenefitsAccess discounts on SIXT rent, share, ride, and SIXT+, along with partner discountsTraining & DevelopmentParticipate in training programs, external conferences, and internal dev & tech talks designed for your personal growth and developmentHealth & Well-beingPrivate health insurance to support your well-beingAdditional PerksEnjoy the Coverflex advantage system to enhance your employee experience

About us:

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 drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!