Staff Data Scientist

Stack

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)

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

Nice to have

• ▹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

Soft skills

What we offer

• ▹An open, collaborative, dynamic, and diverse culture
• ▹A generous monthly allowance for lessons on Preply.com, Learning & Development budget, and time off for self-development
• ▹A competitive financial package with equity, leave allowance, and health insurance
• ▹Access to free mental health support platforms
• ▹The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!)

About the company

Preply is an EdTech company connecting learners with tutors — over 100,000 tutors teaching 90+ languages to learners in 180 countries. The company recently reached unicorn status after a $150M Series D funding round. The role owns the data strategy for a critical product domain (e.g., Growth, Retention, Marketplace), partnering closely with Directors and VPs across Product, Engineering, and Business.