Senior Applied Researcher — Incentives

Description

We are looking for an expert who will develop and automate decision-making algorithms in the area of incentives. Your core focus will be to design and deploy adaptive data-driven mechanisms that determine which goal to set for which user, and what reward to offer, in order to maximize the incremental effect for every dollar invested.

Key Responsibilities

• Intervention Algorithm Automation: Design and implement incentive management systems as closed-loop feedback control systems to continuously optimize budget efficiency and marketplace balance.
• Incremental Impact Maximization (Uplift Modeling): Create and advance causal inference and uplift models (e.g., meta-learners) to evaluate the true incremental value of rewards and target personalized offers.
• Behavioral Modeling & Business Impact: Research and model the non-linear responses of marketplace participants to changing conditions (prices, incentive terms), translating these insights into algorithmic strategies that drive user retention and lifetime value (LTV).
• End-to-End Development (Research-to-Production): Translate research models into production-grade code, developing modular frameworks and monitoring systems to ensure algorithms operate reliably in real time.
• Cross-Functional Leadership: Act as a strategic partner to product managers and engineers, driving the product roadmap through data-driven storytelling and aligning complex algorithmic solutions with overarching business goals.

Skills, Knowledge and Expertise

• Professional experience in Data Analytics, Data Science, Applied Research, or algorithmic product optimization, preferably within a dynamic, incentive-driven environment.
• 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, with experience working with large datasets and the ability to translate research models into production-grade decision logic.
• Advanced Experimentation: Experience with A/B testing frameworks, switchback experiments, and evaluating causal effects in networked systems with feedback loops.
• Strong communication and stakeholder management skills, with the ability to collaborate closely with engineering teams and influence product decision-making.

Why join us

• 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 70 700 gross

Final benefits may vary depending on the location.