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описание
inDrive operates a marketplace powered by a unique bid-based model, where rider–driver connections are shaped through direct negotiation. Its matching systems address supply, demand, user behavior, response dynamics, and marketplace incentives across more than 1,100 cities in 48 countries.
задачи
Define and evolve the metrics framework for matching quality, marketplace balance, and efficiency;
Design, run, and analyze A/B experiments to evaluate matching and ranking changes;
Apply causal inference to isolate the effects of matching decisions on supply, demand, and user response;
Analyze and model user behavior and response dynamics in a bid-based marketplace;
Translate analysis into recommendations for matching and ranking algorithm design;
Monitor marketplace health, balance, feedback effects, and long-term matching quality;
Partner with Data Science and Engineering to shape algorithmic improvements and validate their impact in production;
Build dashboards and analytical tooling for matching performance across teams.
требования
3+ Years in product analytics, marketplace analytics, data science, or algorithmic product optimization, preferably in marketplaces or matching/dispatch systems;
Strong background in probability theory, mathematical statistics, experimentation, and causal inference;
Solid understanding of marketplace dynamics, including supply/demand balance and matching/dispatch;
Ability to turn ambiguous problems into measurable hypotheses and decision-ready recommendations;
Proficiency in SQL and Python for analysis;
Nice to have: experience with auction mechanics, economic models, or incentive-aware matching; familiarity with discrete optimization, online optimization, or RL-inspired / real-time decision systems; experience working with large-scale, high-load production environments.
условия
Annual salary from EUR 59 200 gross;
Access to mentoring, career consulting, and learning programs;
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.