preply - Staff Data Scientist
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Requirements
• Demonstrated track record of materially influencing product or business strategy in complex environments, with clear examples of company-level impact. • Expertise in experimentation and causal inference, including operating under imperfect conditions, resolving ambiguity, and guiding high-stakes decisions where clean experiments are not always feasible. • Strong understanding of subscription and marketplace economics, including LTV modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization. • Strong technical proficiency (e.g., SQL, Python) with the ability to review and elevate the analytical work of others, set coding standards, and design scalable analytical workflows. • Experience mentoring and technically guiding senior data scientists, contributing to the overall growth and maturity of the data organization. • Curiosity, problem-solving and critical-thinking skills, as well as the ability to proactively identify and address challenges. • Ability to influence Directors and VP-level stakeholders, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions. • Interest in the bigger picture, feeling excited to impact the product roadmap and strategy. • Background in 2-sided marketplaces or digital businesses (B2C, B2B2C). • Experience with product analytics tools (e.g. Amplitude, Mixpanel, Heap). • Experience applying advanced analytical methods (e.g., forecasting, causal modeling, pricing optimization) to drive structural business improvements. • Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI). • Master's degree or PhD in a quantitative field. • Demonstrated experience developing Senior Data Scientists and contributing to raising the analytical bar across teams.
Responsibilities
• Develop and formalize a strategic understanding of the key value drivers of your domain, including user behavior, marketplace dynamics, pricing, and long-term unit economics - and translate these into actionable decision frameworks used by leadership. • Define the long-term measurement and experimentation strategy for your domain, identifying structural growth levers and step-change opportunities beyond incremental optimization. • Design the experimentation programme in your domain and execute, and evaluate large-scale experiments to test new ideas and measure their effectiveness in driving business outcomes. • Lead deep analytical investigations into customer behavior and retention dynamics, reframing ambiguous business questions into structured analyses that drive step-change improvements in long-term value. • Own impact modeling and scenario analysis for major product initiatives, enabling quarterly and annual planning decisions through robust forecasting, trade-off analysis, and risk assessment. • Own the definition and governance of key metrics within your domain, ensuring clarity, consistency, and alignment with company-level objectives. • Act as a senior thought partner to product, engineering, and data leaders, driving alignment across teams and elevating analytical standards across the organization. • Lead cross-domain analytical initiatives (e.g., company-wide LTV modeling, pricing strategy, marketplace health framework).
Benefits
• An open, collaborative, dynamic and diverse culture; • A generous monthly allowance for lessons on Preply.com http://preply.com, Learning & Development budget and time off for your self-development; • A competitive financial package with equity, leave allowance and health insurance; • Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub • Access to free mental health support platforms; • Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;
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