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You will be updated with latest job alerts via emailJoin our team of machine learning experts to develop and implement cuttingedge models specifically tailored for price optimization. You will work closely with data scientists to deploy low latency services in production with the objective to infer customer willingness to pay and optimize bid pricing leveraging theories of opportunity cost. Your work will directly influence pricing strategies for millions of customers.
YOUR ROLE AT SIXT
Model Deployment and Optimization: You will collaborate with data scientists to deploy and optimize machine learning models focused on price optimization ranging from an array of techniques including and not limited to Neural Networks Gradient Boosting methods Genetic Algorithms Linear Programming and Time Series Forecasting.
Build and Maintain ML Pipelines: You will design develop and maintain robust pipelines specifically for deploying and scaling machine learning models that drive dynamic pricing strategies. Ensure these pipelines are scalable reliable and seamlessly integrated with the companys existing systems.
CrossFunctional Collaboration: You will work closely with data scientists product managers and software engineers to transform experimental models into operational systems that effectively drive pricing optimization and enhance business outcomes.
Monitoring and Performance Tuning: You will continuously monitor deployed models for performance and accuracy. Implement feedback loops and conduct regular updates to refine models in response to market changes and business needs.
Scalability and Automation: You will automate tasks and build infrastructure capable of handling largescale data processing and complex model serving ensuring systems are scalable and capable of executing realtime pricing adjustments.
Knowledge Sharing: You will document best practices and deployment workflows related to price optimization. Share technical insights and model impacts with both technical and nontechnical stakeholders to foster understanding and drive strategic decisions.
YOUR SKILLS MATTER
Strong Foundations in Machine Learning Engineering: Experience in building deploying and maintaining ML models in production environments.
Proficiency in Python and ML Frameworks: Skilled in productionoriented machine learning frameworks such as TensorFlow PyTorch and Scikitlearn.
Experience with ML Pipeline Tools: Familiarity with tools like MLflow and Airflow for managing machine learning workflows.
Understanding of Causal Inference Models: Knowledge of A/B testing differenceindifferences propensity score matching and double machine learning as they relate to pricing.
Cloud and Big Data Experience: Handson experience with cloud platforms (AWS) and big data technologies like Spark Dask or Polars.
Collaboration and Communication Skills: Ability to work effectively with crossfunctional teams understanding modeling requirements and translating them into scalable engineering solutions.
ProblemSolving Mindset: Proactive approach and a passion for solving complex pricing challenges through advanced engineering solutions.
WHAT WE OFFER
Additional Information :
About us:
We are a leading global mobility service provider with sales of 3.07 billion and around 9000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental) SIXT share (car sharing) SIXT ride (cab driver and chauffeur services) SIXT (car subscription) and gives our customers access to our fleet of 222000 vehicles the services of 1500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners we are present in more than 110 countries at 2098 rental stations. At SIXT a firstclass customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and longterm stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility Apply now!
Remote Work :
No
Employment Type :
Fulltime
Full-time