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Preply

Online language-learning marketplace connecting live tutors

Staff Data Scientist - Marketing

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

About the Job

Requirements

  • Hands-on marketing mix modeling experience, including testing multiple approaches to develop a robust, defensible model.
  • Strong grounding in Bayesian statistics applied rigorously to marketing mix modeling and causal inference.
  • Experience building or owning a marketing mix model, a geo-experimentation program, or another causal measurement system that steered real budget, and turning its outputs into actionable language for marketing and finance.
  • Expertise designing and evaluating incrementality tests and A/B experiments.
  • Strong Python and SQL skills.
  • Advanced written and verbal English.

Responsibilities

  • Own and build out the marketing mix model, expanding it from the current United States model into a global hierarchical model and an automated platform for budget allocation.
  • Partner with performance marketing and finance to incorporate model outputs into the budget process and guide teams on strategic implications.
  • Steer the testing roadmap by using model signals to select channels and questions to test, then design and run incrementality tests, including geo experiments and other causal inference methods, to measure incremental return on investment.
  • Design a unified measurement framework connecting marketing mix modeling, attribution, and incrementality, using the model for major budget decisions and incrementality-adjusted attribution for channel splits.
  • Extend causal inference methods beyond marketing as a reusable foundation for measuring impact in finance and product.
  • Work with data engineering to build scalable pipelines and evolve the extract, transform, and load processes as the modeling stack grows, potentially adopting Databricks.

Desired Qualifications

  • A PhD in mathematics, economics, statistics, or a similar field, or equivalent applied experience.
  • Previous experience with causal inference techniques such as geo-lift testing, causal impact, synthetic control, and difference-in-differences.
  • Previous experience with tools such as PyMC, Stan, Meridian, or Robyn.
  • Experience in marketplaces or digital businesses, ideally in performance marketing.

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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