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Preply

Online language-learning marketplace connecting live tutors

Staff Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeLondon, UKHybrid

About the Job

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 lifetime value modeling, cohort dynamics, retention mechanics, pricing trade-offs, and long-term value optimization.
  • Strong technical proficiency in SQL and 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.
  • Ability to proactively identify and address challenges using problem-solving and critical-thinking skills.
  • Ability to influence Directors and Vice Presidents, navigate conflicting incentives, and drive clarity in high-stakes strategic discussions.
  • Interest in impacting the product roadmap and strategy.

Responsibilities

  • Develop and formalize a strategic understanding of key value drivers in the 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 the domain, identifying structural growth levers and step-change opportunities beyond incremental optimization.
  • Design the experimentation program in the 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 the 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 such as company-wide lifetime value modeling, pricing strategy, and marketplace health frameworks.

Desired Qualifications

  • Background in two-sided marketplaces or digital businesses, including B2C or B2B2C.
  • Experience with product analytics tools such as Amplitude, Mixpanel, or Heap.
  • Experience applying advanced analytical methods such as forecasting, causal modeling, and pricing optimization to drive structural business improvements.
  • Familiarity with data visualization tools such as Tableau, Looker, or 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.

About the Company

Preply

Online language-learning marketplace connecting live tutors

Preply is an online language-learning marketplace that connects learners with live tutors for 90+ languages across 180 countries. Through the platform, students can choose a language, browse tutors, schedule lessons, and receive video-based instruction from tutors around the world. Lessons are supported by an AI co-pilot toolkit that helps with practice, personalization, and learning data to aid the tutoring process. What sets Preply apart is its large, global network of more than 100,000 tutors, a broad language catalog, and a focus on combining human teaching with AI-assisted tools, backed by strong funding and profitability signals (it became EBITDA-positive) and a recent €127 million Series D to expand AI/data capabilities, product and engineering hiring, and global growth. The company’s goal is to make language learning accessible and effective for learners anywhere by scaling high-quality tutoring worldwide and enhancing it with AI-driven tools.

Company size
10,001+
Company stage
Series D
Total funding
$321.9M
Headquarters
Brookline, MA
Founded
2012

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