Senior Applied Scientist (Data Science)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (Data Science): Designing and deploying adaptive incentive algorithms to optimize marketplace balance and budget efficiency with an accent on causal inference and uplift modeling. Focus on building production-grade decision-making systems that maximize incremental impact and user lifetime value.
Location: Hybrid, Limassol, Cyprus
Company
is a global ride-hailing and multi-service platform operating in 48 countries, dedicated to challenging injustice and providing fair pricing solutions.
What you will do
- Design and implement incentive management systems as closed-loop feedback control systems.
- Develop causal inference and uplift models to evaluate the true incremental value of rewards.
- Research non-linear participant responses to price and incentive changes to drive retention.
- Translate research models into production-grade code and modular frameworks.
- Collaborate with product managers and engineers to align algorithmic strategies with business goals.
Requirements
- 3+ years of experience in Data Science, Applied Research, or algorithmic product optimization.
- Strong expertise in Machine Learning, behavioral modeling, and causal inference.
- Advanced proficiency in Python and SQL for working with large datasets.
- Experience with A/B testing frameworks and evaluating causal effects in networked systems.
- Professional working proficiency in English.
- Solid foundation in mathematics and economics, including elasticity models.
Nice to have
- Experience formulating budget allocation tasks as linear or mixed-integer optimization problems.
- Proven ability to build propensity/response models for targeted interventions.
Culture & Benefits
- Access to mentoring, career consulting, and professional learning programs.
- Participation in the Global Talent Exchange Program for international experience.
- Support for language learning through co-financed courses and speaking clubs.
- Engagement in company-wide social impact and volunteering projects.
- Collaborative environment that encourages initiative and open communication.
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