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Machine Learning Engineer (m/f/d) - Revenue Management & Price Optimization

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SIXT

1mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Munich
  • Quick Apply

AI generated summary

  • You must have strong ML engineering skills, proficiency in Python/ML frameworks, experience with ML pipelines, knowledge of causal inference, cloud/big data experience, and excellent collaboration skills.
  • You will deploy and optimize ML models for pricing, build scalable pipelines, collaborate cross-functionally, monitor performance, automate processes, and share insights with stakeholders.

Requirements

  • 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 production-oriented machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • 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, difference-in-differences, propensity score matching, and double machine learning, as they relate to pricing
  • Cloud and Big Data Experience: Hands-on experience with cloud platforms (AWS) and big data technologies like Spark, Dask, or Polars
  • Collaboration and Communication Skills: Ability to work effectively with cross-functional teams, understanding modeling requirements, and translating them into scalable engineering solutions
  • Problem-Solving Mindset: Proactive approach and a passion for solving complex pricing challenges through advanced engineering solutions

Responsibilities

  • Model Deployment and Optimization: You 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 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 company's existing systems
  • Cross-Functional Collaboration: You 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 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 automate tasks and build infrastructure capable of handling large-scale data processing and complex model serving, ensuring systems are scalable and capable of executing real-time pricing adjustments
  • Knowledge Sharing: You document best practices and deployment workflows related to price optimization. Share technical insights and model impacts with both technical and non-technical stakeholders to foster understanding and drive strategic decisions

FAQs

Do we support remote work?

Yes, we offer up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK).

What technologies will I be working with as a Machine Learning Engineer?

You will work with a variety of technologies including machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as cloud platforms like AWS and big data technologies like Spark, Dask, or Polars.

What is the main focus of the Machine Learning Engineer role at SIXT?

The main focus of the role is to develop and implement machine learning models tailored for price optimization, helping to infer customer willingness to pay and optimize bid pricing.

Are there opportunities for professional growth in this role?

Yes, you will collaborate with data scientists and cross-functional teams, allowing for knowledge sharing and skill enhancement, contributing to both personal and professional growth.

How many vacation days do employees receive?

Employees enjoy 30 days of vacation per year.

What kind of collaboration is expected in this role?

You will work closely with data scientists, product managers, and software engineers to transform experimental models into operational systems that drive pricing optimization.

Is there support for community engagement?

Yes, employees can take a day each year to volunteer with the "Drying Little Tears" children's aid foundation, an initiative of Regine Sixt.

What kind of employee benefits are offered?

Employees benefit from discounts on SIXT services, car leasing offers, and special deals with partners on travel, tech, clothing, and more.

What skills are essential for this Machine Learning Engineer position?

Essential skills include strong foundations in machine learning engineering, proficiency in Python and ML frameworks, experience with ML pipeline tools, and understanding of causal inference models related to pricing.

Is there any support for retirement planning?

Yes, we offer support for retirement planning and capital-forming benefits to enhance your future.

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SIXT

SIXT is a leading international provider of high-quality mobility services.

Travel & Leisure
Industry
5001-10,000
Employees
1912
Founded Year

Mission & Purpose

We are one of the world’s leading mobility service providers with sales of close to EUR 3,07 billion and around 7,500 employees worldwide. Our mobility platform ONE unites our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi and chauffeur services), SIXT+ (car subscription) and gives our customers access to a fleet of 270,000 vehicles, the services of 2,500 partners and 5 million drivers worldwide. Together with our franchise partners, we operate in more than 110 countries with around 2,089 rental stations. At SIXT, a first-class customer experience and outstanding customer service come first. We rely on real entrepreneurship and long-term stability and align our company strategy with foresight. You want to revolutionize the world of mobility and take off with us? Apply now!