Lead Applied Researcher

inDrive

. Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling .

Posted 10/27/2026full-timeLimassol • CyprusSenior💰 €80,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing dynamic pricing systems, utilizing statistical analysis, optimization techniques, and real-time algorithms. Proficient in Python and SQL, with a strong foundation in data science and algorithmic product optimization.

Highest-signal resume keywords

Dynamic Pricing PoliciesReal-Time Pricing AlgorithmsStatistical AnalysisProduction ML SystemsCausal Inference

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLStatisticsOptimizationCausal InferenceA/B TestingEconomic ModelingControl SystemsReinforcement LearningOnline Optimization

Industry Keywords

Marketplace DynamicsPricing SystemsElasticitySupply/Demand ResponseHigh-Load Systems

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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, including optimization, control, and RL-inspired approaches
Design and evolve dynamic pricing systems for a marketplace using a unique bid-based pricing model shaped through direct negotiation between riders and drivers
Model user behavior, incentives, and marketplace dynamics

Requirements

What you’ll need

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 and SQL
Experience with production ML systems
Experience with economic modeling (elasticity, auctions, policy design) (Nice to Have)
Familiarity with control systems, RL, or online optimization (Nice to Have)
Experience working with real-time, high-load systems (Nice to Have)

Benefits

Comp & perks

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.