Senior Applied Scientist (Researcher) – Matching

inDriver·Pinpoint
CyprusFull-time
Apply
We are looking for a Senior Applied Scientist (Matching) to design and evolve matching systems for our marketplace. You will develop matching as a real-time decision system, balancing supply, demand, and marketplace efficiency under uncertainty and dynamic conditions. Unlike traditional dispatch-based matching, our marketplace operates on a unique bid-based model, where rider-driver connections are shaped through direct negotiation. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, response dynamics, and marketplace incentives.

Key Responsibilities

  • Design and improve matching and ranking algorithms, including supply/demand response and behavioral modeling
  • Frame matching as a decision system under uncertainty and real-time constraints
  • Develop, test, and deploy real-time matching and dispatching algorithms
  • Design and analyze A/B experiments to evaluate matching impact on marketplace efficiency and user experience
  • Productionize models in collaboration with engineering, ensuring scalability and robustness in high-load environments
  • Monitor system performance, including marketplace balance, feedback effects, and long-term matching quality
  • Contribute to methodological choices (e.g., discrete optimization, ranking, RL-inspired approaches)

Skills, Knowledge and Expertise

  • 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or matching/dispatch systems
  • Strong background in probability theory, mathematical statistics, discrete 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 auction mechanics, economic models, or incentive-aware matching
  • Familiarity with online optimization, RL, or real-time decision systems
  • Experience working with large-scale, high-load production environments

Why join us

  • Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 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 70 700 EUR gross
Final benefits may vary depending on the location.

Want jobs like this matched to you?

Swoopd scores fresh postings against your résumé so you only see the matches that matter.

Get started free