Applied Researcher – Pricing

inDrive operates a marketplace where riders and drivers negotiate prices directly through a bid-based pricing model. The marketplace serves millions of people across 1,100+ cities in 48 countries.

• Design and improve dynamic pricing policies, including elasticity and supply-and-demand response models
• 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 with engineering teams, ensuring scalability and robustness
• Monitor system performance, including stability, feedback effects, and long-term behavior
• Contribute to methodological choices, including optimization, control, and RL-inspired approaches

• 3+ Years of experience in Data Science, Applied Research, or algorithmic product optimization
• Strong background in statistics, optimization, and causal inference
• Ability to move from problem formulation to production-grade solutions
• Proficiency in Python and SQL
• Experience with production ML systems
• Будет плюсом: experience with economic modeling (elasticity, auctions, policy design), familiarity with control systems, RL, or online optimization, experience with real-time, high-load systems

• Access to mentoring, career consulting, and learning programs
• International experience through the Global Talent Exchange Program
• Company-wide challenges, awards, sports activities, employee-led social impact, and volunteering projects
• Co-financed language courses and internal speaking clubs
• Final benefits may vary depending on the location