Senior Data Scientist

Responsibilities

• Collaborate with performance marketing teams to optimize campaigns, budgets, and results
• Roll out Marketing Mix Modeling (MMM) and build automated budget platforms using Bayesian statistics
• Design and analyze incrementality tests using causal inference to quantify ROI
• Develop a Creative Analytics framework and new metrics like creative fatigue
• Improve targeting and bidding strategies using regression models
• Partner with the Applied AI team to support model roll-outs and impact analysis
• Work with Data Engineering to create scalable data pipelines and optimize ETL processes

Requirements

• Extensive experience as a Data Scientist in a B2C performance marketing environment
• Strong coding skills in SQL and Python
• Deep knowledge of incrementality, attribution, and experimentation (A/B testing)
• Experience developing and deploying machine learning models
• Experience in Marketplaces or digital business environments
• Advanced English communication skills
• Pragmatic problem-solving mindset and an AI-driven approach to efficiency

Preferred Qualifications

• Experience with causal inference techniques (geo-lift, causal impact, synthetic control)
• Proficiency with Databricks, Snowflake, or Looker
• Experience with Apache Spark
• Knowledge of data orchestration tools like dbt and Airflow

About the Company

Preply is a category-defining Ed-Tech unicorn that connects learners with tutors globally. We use a human-led, tech-enabled approach to transform education through personalized learning journeys and AI-enhanced experiences.