Senior Applied Scientist (Researcher) – Matching

Indrive

Cyprus Analytics Department
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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

Final benefits may vary depending on the location.

Skills

Matching AlgorithmsReal-time Decision SystemsBehavioral ModelingA/B TestingProduction ML SystemsPythonSQLDiscrete OptimizationCausal InferenceCollaboration