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.
- You develop and deploy containerized microservices using Docker and Kubernetes and integrate with RESTful APIs to support modular cloud-native architectures.
- You apply causal inference techniquesincluding A/B testing difference-in-differences and propensity score matchingto support data-driven pricing and experimentation strategies.
- You work hands-on with cloud platforms like AWS 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 Off Enjoy 28 days of vacation an additional day off for your birthday and 1 volunteer day per year
- Work-Life Balance & Flexibility Benefit from a hybrid working model flexible working hours and no dress code
- Great Employee Benefits Access discounts on SIXT rent share ride and SIXT along with partner discounts
- Training & Development Participate in training programs external conferences and internal dev & tech talks designed for your personal growth and development
- Health & Well-being Private health insurance to support your well-being
- Additional Perks Enjoy 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 9000 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 350000 vehicles the services of 4000 cooperation partners and around 5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2000 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!
Remote Work :
Yes
Employment Type :
Full-time