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Salary
$90k per year (gross)
Location
Hybrid (Limassol, Cyprus)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 26, 2026. inDrive scores A on the Alion truth index.

Overview
Company
Impact
Profile match
InDrive is a global mobility and urban services platform best known for its ride-hailing app, which operates on a unique peer-to-peer pricing model. Founded in Siberia in 2012 and now headquartered in the United States, the platform allows passengers and drivers to negotiate and agree upon fares directly rather than relying on automated algorithms. Beyond ride-sharing, the company has expanded its offerings across dozens of countries to include intercity transportation, freight delivery, courier services, and local task assistance.

We are looking for a Lead Applied Researcher - 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

  • Professional 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

Why join us

  • Help us challenge injustice by creating fair choices for millions of people across in 47 countries
  • Develop your professional skills with access to mentoring, career consulting, and learning programs
  • Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
  • Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
  • Work alongside people who take initiative, speak openly, and challenge themselves to grow
  • Improve your language skills through co-financed courses and internal speaking clubs
  • Annual salary from EUR 80 200 gross

Final benefits may vary depending on the location.

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