• Design, develop, and improve matching and ranking algorithms that optimize marketplace efficiency, latency, and user experience
• Apply machine learning, statistical modeling, and discrete optimization techniques to real-time dispatching and matching problems
• Develop forecasting and behavioral models for supply, demand, and response dynamics that inform matching decisions
• Conduct advanced analytical research to identify inefficiencies and growth opportunities in existing matching logic
• Design and analyze A/B and S/B tests to validate algorithmic changes and quantify business impact
• Productionize models and analytical solutions in collaboration with engineers, ensuring scalability, reliability, and performance in high-load environments
• Build monitoring frameworks, metrics, and dashboards to track matching quality, marketplace balance, and model health
• Clearly communicate findings, trade-offs, and recommendations to technical and business stakeholders

• 4+ years of experience in data science, machine learning, or algorithmic research, preferably in marketplaces, matching, pricing, or dispatch systems
• Strong mathematical background, including probability theory, mathematical statistics, discrete optimization, and causal inference
• Solid understanding of marketplace dynamics, supply–demand balancing, and real-time decision systems
• Experience with tabular ML, ranking models, or recommendation/search-like problems
• Proficiency in Python and SQL, with hands-on experience processing large datasets and working with production ML pipelines
• Experience collaborating with engineering teams on deploying and maintaining models in high-load services
• Strong analytical mindset with the ability to balance deep research, practical constraints, and business impact

Nice to Have

• Experience with auction mechanics, economic models, or incentive-aware matching
• Prior work on online optimization or real-time systems
• Familiarity with experiment design in large-scale marketplaces

• 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