Senior Applied Scientist (Pricing) - Remote

Overview

We are looking for a Senior Applied Scientist (Pricing) to design and evolve dynamic pricing systems for our marketplace.

In Short

• Design and improve dynamic pricing policies.
• Frame pricing as a decision system under uncertainty.
• Develop, test, and deploy real-time pricing algorithms.
• Design and analyze A/B experiments to evaluate pricing impact.
• Productionize models in collaboration with engineering.
• Monitor system performance and long-term behavior.
• Contribute to methodological choices in pricing.

Requirements

• 3+ years of experience in Data Science or Applied Research.
• Strong background in statistics, optimization, and causal inference.
• Proven ability to move from problem formulation to production-grade solutions.
• Proficiency in Python and SQL.
• Experience with production ML systems.

Benefits

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