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Preply is a unicorn edtech platform (Series D, $150M) that connects 100,000+ tutors teaching 90+ languages to learners in 180 countries. The company is building human-led, AI-enhanced learning experiences at global scale.
You will join the Data Team as a Senior Data Scientist embedded in the Marketing organization, partnering with performance marketing teams, MarTech product managers, tech leads, and the Data Strategy team. Your focus will be on designing and deploying data solutions that optimize marketing campaigns, budgets, and ROI across the business.
Key responsibilities:
- Collaborate with performance marketing teams to develop data solutions for campaign optimization and budget allocation
- Roll out Marketing Mix Modeling (MMM) to additional countries and build an automated MMM budget platform using advanced Bayesian statistics
- Design and analyze incrementality tests to measure marketing effectiveness using causal inference methods to quantify incremental ROI
- Design a unified system connecting MMM and incrementality results
- Shape the testing roadmap and develop a Creative Analytics framework with new metrics (e.g., creative fatigue) to scale new channels
- Improve targeting and bidding strategies using regression models to assign predictive weights to funnel events
- Partner with the Applied AI team to support model rollouts, analyze impact, understand feature importance, and guide projects with business and data science expertise
- Work closely with Data Engineering to create scalable data pipelines and optimize ETL processes
- Contribute to cross-company data initiatives aligned with the organization's vision
- Proactively support the application of predictive models in performance marketing channels
The role offers a home base in the Barcelona Hub with a generous relocation package, competitive financial package with equity, learning & development budget, mental health support, and wellness benefits.
Requirements:
- Extensive experience as a Data Scientist working with performance marketing teams in B2C environments, delivering business insights and building data products
- Knowledge of incrementality and attribution methodologies
- Skilled in developing and deploying machine learning models
- Experience with experimentation design and evaluation of A/B tests
- Experience in Marketplaces and/or digital business environments in performance marketing context
- Strong coding skills in SQL and Python
- Creative mindset and proactive approach to developing and evaluating new solutions
- Strong curiosity, problem-solving, and problem-finding skills
- Advanced written and verbal communication skills in English
- AI mindset: using AI to boost efficiency, working agentically, automating processes, and enabling stakeholders
- Pragmatic problem-solver who finds elegant solutions through complexity
Nice to have:
- Previous experience with causal inference techniques (geo-lift testing, causal impact, synthetic control, difference-in-differences)
- Experience with Databricks, Snowflake, Looker
- Experience with Apache Spark
- Knowledge of data orchestration tools (dbt, Airflow)
