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Preply

Online language-learning marketplace connecting live tutors

Staff Data Scientist - Paid Marketing Optimization

Data ScienceConfirmed live in the last 24 hours
Full-timeBarcelona, SpainHybrid

About the Job

Requirements

  • Proficiency in Python, SQL, and a distributed framework such as Spark; the team uses Databricks.
  • Experience with marketing or attribution data and a working understanding of how bidding platforms consume supplied signals.
  • Advanced modeling experience, including propensity models for valuing earlier funnel events and refining targeting, and uplift models for identifying incremental value.
  • Knowledge of causal inference and experiment design, including separating channel impact from attribution and designing tests when platforms control delivery.
  • Ability to turn business hypotheses into testable approaches and recognize when available data cannot answer a question.
  • Comfort collaborating across teams including Applied AI, marketing measurement, MarTech, tracking, and CRM.

Responsibilities

  • Design, own, and develop the Creative Analytics Framework for creative performance modeling; drive its findings into decisions with creative and media-buying teams and automate detection, reporting, and action with MarTech.
  • Develop models that distinguish the causal effect of a creative from the effects of algorithmic delivery and predict incremental drivers of creative efficiency.
  • Predict how many current clicks will convert as cohorts mature and connect current spend to conversions that have not yet occurred.
  • Work with channel managers and the Applied AI team to improve predicted conversion values sent to Google and Meta, testing which funnel events to optimize and which predictions to attach to them.
  • Create customer uplift models to identify incremental value and build audiences that improve marketing efficiency, including prospecting seeds, remarketing audiences, and exclusion lists.
  • Collaborate with Data Engineering and Applied AI on scalable data pipelines, ETL process evolution, and adoption of tools and frameworks.

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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