Senior Applied Researcher – Incentives

inDrive

. Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance .

Posted 11/3/2026full-timeLimassol • CyprusSenior💰 €70,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Analytics and Data Science, with a strong focus on Machine Learning, Causal Inference, and algorithmic product optimization. Proficient in translating complex research models into production-grade code while aligning algorithmic solutions with business objectives.

Highest-signal resume keywords

Data AnalyticsMachine LearningCausal InferenceAdvanced SQLPython Proficiency

ATS Keywords

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Hard Skills

Data ScienceBehavioral ModelingIncentive Response DynamicsA/B Testing FrameworksProduction-Grade CodeElasticity ModelsRetention AnalyticsLarge DatasetsDecision LogicMeta-Learners

Soft Skills

Analytical MindsetStrong CommunicationStakeholder ManagementCollaborationInfluencing Product Decision-Making

Industry Keywords

Incentive Management SystemsClosed-Loop Feedback Control SystemsUser RetentionLifetime Value (LTV)Data-Driven StorytellingAlgorithmic StrategiesMarketplace BalanceMonitoring SystemsResearch ModelsNetworked Systems

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance
Create and advance causal inference and uplift models, such as meta-learners, to evaluate the true incremental value of rewards and target personalized offers
Research and model non-linear responses of marketplace participants to changing conditions, including prices and incentive terms
Translate behavioral insights into algorithmic strategies that drive user retention and lifetime value (LTV)
Translate research models into production-grade code
Develop modular frameworks and monitoring systems to ensure algorithms operate reliably in real time
Act as a strategic partner to product managers and engineers
Drive the product roadmap through data-driven storytelling
Align complex algorithmic solutions with overarching business goals

Requirements

What you’ll need

Professional experience in Data Analytics, Data Science, Applied Research, or algorithmic product optimization
Strong analytical mindset with expertise in Machine Learning, behavioral modeling, and causal inference
Solid foundation in mathematics and economics, including knowledge of elasticity models, incentive response dynamics, and retention analytics
Advanced SQL and Python proficiency
Experience working with large datasets
Ability to translate research models into production-grade decision logic
Advanced experience with A/B testing frameworks, switchback experiments, and evaluating causal effects in networked systems with feedback loops
Strong communication and stakeholder management skills
Ability to collaborate closely with engineering teams and influence product decision-making

Benefits

Comp & perks

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
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location