Senior Applied Scientist [Pricing]

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