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Open nowFirst seen 2 hours ago

Lead Applied Researcher

inDriver160 open roles

Where
Limassol
Work mode
Hybrid
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Your applicationOpen nowLead Applied ResearcherinDriver · Limassol

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. inDriver postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 2 hours ago

inDriver median: 2 days open

The posting

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

  • 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

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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