Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés. and it’s creating real impact.
As a category-defining company, we’re shaping what the future of learning looks like at integral scale.
Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at global scale, and building something that truly matters for millions of people, every day.
At Preply, we're growing a talented Data Team to empower top-notch decision-making across our organization. leveraging analysis, experimentation, causal inference, and machine learning.
You’ll be embedded in cross-functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. About this roleYou’ll own Preply’s Marketing Mix Model end to end, the system that governs how we allocate marketing’s largest cost line, a 9-digit annual spend, across more than 30 markets and channels. You’ll partner directly with Finance to turn model output into the budget steering process, and with performance marketing to translate it into channel strategy.
Within a year, you’ll have built a hierarchical model spanning our top markets, calibrated where possible against existing geo-experiments, and actively shaped the measurement roadmap by identifying, designing, and running the next tests needed to further calibrate it. The model’s channel-level marginal ROI will be a direct input into Finance’s 2028 budget planning.
Own our Marketing Mix Model end to end: build it out, grow it from today's US model to a global,



hierarchical setup, and turn it into an automated platform that steers budget allocation. Turn MMM outputs into decisions: partner with performance marketing and finance to fold results into the budget process and guide teams on what they mean for strategy.
Steer the testing roadmap that feeds the MMM: use its signals to pick which channels and questions to test, then design and run incrementality tests (geo experiments and other causal inference methods) to measure incremental ROI.
MMM for big budget calls, incrementality-adjusted attribution for channel splits.
Extend these causal inference methods beyond marketing, as a reusable foundation for how Finance and Product measure impact.
Work with Data Engineering to build scalable pipelines and evolve our ETL as the modeling stack grows (e.g. Hands-on MMM

experience:
you know that getting it right means testing multiple approaches before converging on a robust, defensible model.
Built or owned at least one of: a marketing mix model, a geo-experimentationprogram, or another causal measurement system that steered real budget, with experience turning its outputs into action in language marketing and finance can use.
Experimentation expertise:



designing and evaluating incrementality tests and A/B experiments.
Strong Python and SQL skills.
Advanced written and verbal English.
PhD in mathematics, economics, statistics or similar, or equivalent applied experiencePrevious experience with causal inference techniques (e.g. geo-lift testing, causal impact, synthetic control, difference in differences, etc.)Previous experience with tools such as PyMC, Stan, Meridian, Robyn or similarExperience in marketplaces or digital businesses, ideally in performance marketing.
Why you’ll love it at Preply:An open, collaborative, dynamic and diverse culture;A generous monthly allowance for lessons , Learning & Development budget and time off for your self-development;A competitive financial package with equity, leave allowance and health insurance;

We offer
an attractive relocation package to join us in our Preply Barcelona HubAccess to free mental health support platforms;We do it for learners
- To create an outstanding customer experience, we focus on simplicity, smoothness, and enjoyment, continually perfecting it as every detail matters.
In a fast-paced world, it matters how quickly we act. We proactively seek growth opportunities and believe today's best performance becomes tomorrow's starting point. Raise the bar
- We raise our performance standards continuously, alongside each new hire and promotion. We value open and candid communication, even when we don’t fully agree. We believe that the presence of different opinions and viewpoints is a key ingredient for our success as a multicultural Ed-Tech company.

📌 Staff Data Scientist (España)
🏢 Preply
📍 España