We’re building a world-class machine learning platform at Sixt and looking for a Senior Data Scientist to help shape our real-time dynamic pricing systems across global markets.
You’ll join a collaborative team working at the intersection of ML, experimentation, and pricing strategy, building algorithms that respond to market signals in real time and impact millions of customers.
This is a career-building opportunity for someone passionate about applied machine learning, optimization, and solving complex business challenges with measurable impact. What You’ll Do * Design and implement ML models for dynamic pricing, including experimentation-driven and real-time approaches * Apply (or learn) methods such as multi-armed bandits, Bayesian inference, and reinforcement learning * Collaborate with engineers, product managers, and pricing analysts to deploy scalable ML systems into production * Monitor and evaluate model performance through A/B testing and real-world feedback loops * Communicate methodologies, trade-offs, and results clearly to both technical and non-technical stakeholders * Contribute to building a robust pricing decision engine integrated into global customer-facing systems
✅ What You Bring We’re looking for someone with hands-on ML experience and a drive to apply it in production: * B.Tech/B.E. or Master’s Degree in Computer Science, Engineering, or a related discipline (must-have) * 5+ years of experience in machine learning, data science, or ML engineering * Proficiency in Python, with experience in ML libraries such as PyTorch, TensorFlow, or scikit-learn * Practical experience deploying ML models into production, ideally with tools like FastAPI, Docker, or MLflow * Solid understanding of model evaluation, A/B testing, or real-time model monitoring * Fluent English communication and the ability to work effectively in an international, cross-functional team
Nice to Have (We’ll Help You Learn) These are a plus, but we’re happy to support your learning here: * Experience with multi-armed bandits, reinforcement learning, or Bayesian modeling * Knowledge of dynamic pricing, revenue management, or real-time optimization * Familiarity with cloud ML platforms (AWS/GCP/Azure) or MLOps tooling * Experience with streaming data or feedback-based model architectures
Career Path This role is built for growth — start as a Senior Data Scientist with real impact, and evolve into a Lead ML Architect or Optimization Strategist, driving intelligent pricing at scale for Sixt. What We Offer * Competitive salary (settled in EUR, via direct employment at Sixt TECH Ukraine) * 25 calendar days of paid vacation * Full medical insurance * Educational & learning budget * Gym membership + language learning support * Flat hierarchies, flexible hours, and zero corporate nonsense * A truly global product and a high-impact role
