Staff Data Scientist
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In this role you drive the data strategy for a key product domain (e.g., Growth, Retention, Marketplace) at Preply. You partner with leaders across Product, Engineering, and Business to shape long-term decisions based on rigorous measurement. You design scaleable experiments, model long-term value, and define essential metrics to guide the roadmap. You will influence cross-functional teams and elevate analytical standards in a dynamic, global Learner-Tutor marketplace.
Compensaciones / Beneficios- lesson allowance on Preply.com
- Learning & Development budget
- health insurance
- relocation package to Barcelona
- mental health support platforms
- gym access in Spain
- Develop strategic understanding of key value drivers in your domain and translate into decision frameworks for leadership
- Define long-term measurement and experimentation strategy for your domain
- Design, execute and evaluate large-scale experiments to drive business outcomes
- Lead deep analyses of customer behavior and retention to improve long-term value
- Own impact modeling and scenario analysis for major product initiatives with robust forecasting
- Govern key metrics to ensure alignment with company goals
- Act as senior thought partner to product, engineering and data leaders
- Lead cross-domain analytical initiatives (e.g., LTV modeling, pricing strategy, marketplace health)
- Track record influencing product or business strategy in complex environments with clear impact
- Expertise in experimentation and causal inference under imperfect conditions
- Strong understanding of subscription and marketplace economics (LTV, cohorts, retention, pricing)
- Strong technical proficiency (SQL, Python) and ability to elevate others’ analytical work
- Experience mentoring senior data scientists and growing the data org
- Curiosity, problem-solving and critical thinking; proactive in addressing challenges
- Ability to influence Directors and VP-level stakeholders in strategic discussions
- Interest in shaping product roadmap and strategy
- curiosity
- problem-solving
- critical thinking
- SQL
- Python
- experimentation and causal inference
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