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MACHINE LEARNING ENGINEER - DYNAMIC PRICING AND MULTI-ARMED BANDITS (M/F/D)

Descrição da oferta de emprego

Job Description Join our team of data science and machine learning experts to shape the next generation of intelligent pricing strategies.
Our mission is to apply cutting-edge techniques—including reinforcement learning, multi-armed bandits, and Bayesian inference—to optimize dynamic pricing decisions.
We build scalable models and systems that directly impact millions of customers, enabling more efficient revenue management processes and a superior user experience.
YOUR ROLE AT SIXT.
Develop and Enhance ML Solutions.
Design, implement, and maintain production-grade machine learning systems, with a strong focus on bandit algorithms and reinforcement learning methods for dynamic pricing.
Cross-Functional Collaboration.
Work closely with teams in data science, engineering, product management, and business operations to bring experimental models into a robust production environment.
Monitoring and Analysis.
Continuously track model performance, visualize key metrics, and conduct deep-dive analyses to understand changes in system behavior and their impact on business outcomes.
Iterative Improvement.
Collaborate with business stakeholders to identify inefficiencies in current processes and propose data-driven, ML-powered solutions to address them.
Knowledge Sharing.
Communicate results, methodologies, and technical insights to audiences of varying technical backgrounds, ensuring that both business and technical teams understand the value of your work.
Qualifications YOUR SKILLS MATTER.
Foundational Experience in ML.
Some background in machine learning or data science.
Prior exposure to reinforcement learning, multi-armed bandits, Bayesian methods, or dynamic pricing is a plus, but not required.
Technical Skills.
Proficiency in Python and familiarity with modern ML frameworks (e.
., TensorFlow, PyTorch).
Experience with cloud platforms (AWS, GCP, or Azure) is beneficial.
Production Mindset.
Comfortable deploying and maintaining ML models in a production environment, ensuring reliability, scalability, and adaptability.
Growth-Oriented.
Passionate about learning new methods and solving real-world problems.
Even if you don’t have all the experience listed, we encourage you to apply if you’re excited about bandit algorithms, dynamic pricing, and advanced ML techniques.
Communication & Teamwork.
Fluent in English and enthusiastic about working within a diverse, multinational team.
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 leading global mobility service provider with sales of €3.
billion and around 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 vehicles, the services of cooperation partners and around 1.
million drivers worldwide.
Together with our franchise partners, we are present in more than 110 countries at rental stations.
At SIXT, a first-class customer experience and outstanding customer service are our top priorities.
We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight.
Want to take off with us and revolutionize the world of mobility? Apply now! I'm interested I'm interested Privacy Policy Imprint
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Detalhes da oferta

Empresa
  • Indeterminado
Localidade
  • Em todo Portugal
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 12/12/2024
Data de expiração
  • 12/03/2025
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