Senior Applied Scientist (Researcher) – Incentives
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.
- 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
- 3+ years of 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
- Professional working proficiency in English
- Nice to have: Experience formulating budget allocation tasks as linear, integer, or mixed-integer optimization problems to find the optimal balance between costs and desired outcomes
- Nice to have: Experience with Uplift Modeling — Proven ability to evaluate causal effects, build propensity/response models, and design targeted interventions
- 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
- Annual salary from 70 700 EUR gross
Final benefits may vary depending on the location.