Lead Applied Researcher – Pricing

About the role

We are looking for a Lead Applied Researcher – Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop a feedback‑driven pricing decision system that balances supply, demand and business outcomes under uncertainty.

Key responsibilities

• Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling.
• Frame pricing as a decision system under uncertainty and delayed feedback.
• Develop, test, and deploy real‑time pricing algorithms.
• Design and analyze A/B experiments to evaluate pricing impact.
• Productionize models in collaboration with engineering, ensuring scalability and robustness.
• Monitor system performance, including stability, feedback effects, and long‑term behavior.
• Contribute to methodological choices such as optimization, control, and RL‑inspired approaches.

Required profile

• 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems.
• Strong background in statistics, optimization, and causal inference.
• Proven ability to move from problem formulation to production‑grade solutions.

Required skills

• Python
• SQL
• Production ML systems
• Statistics
• Optimization
• Causal inference

What we offer

• Annual salary from EUR 80 200 gross.
• Access to mentoring, career consulting, and learning programs.
• International collaboration through a Global Talent Exchange Program.
• Company‑wide challenges, awards, sports activities, and social impact projects.
• Co‑financed language courses and internal speaking clubs.