We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system, balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model, where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics.

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 (e.g., optimization, control, RL-inspired approaches)

Skills, Knowledge and Expertise

  • 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
  • Proficiency in Python, SQL, and experience with production ML systems
Nice to Have
  • Experience with economic modeling (elasticity, auctions, policy design)
  • Familiarity with control systems, RL, or online optimization
  • Experience working with real-time, high-load systems

Conditions

  • Stable salary, official employment
  • Remote work mode and flexible schedule
  • Access to professional counseling services, including psychological, financial, and legal support
  • Diverse internal training programs
  • Partially or fully paid additional training courses
  • All necessary work equipment