Staff Data Scientist - Marketing Location Barcelona

Employment Type Full time

Location Type Hybrid

Department Data

We power people’s progress. At Preply, we're all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey, and stay motivated to keep growing. Our approach is human-led, tech-enabled - and it's creating real impact.

We've just reached unicorn status with a $150M Series D, accelerating our vision to transform education through human-led, AI-enhanced learning. Today, 100,000+ tutors teach 90+ languages to learners in 180 countries - and we're only getting started. As a category-defining company, we're shaping what the future of learning looks like at global scale.

Every Preply lesson sparks change, fuels ambition, and drives progress that matters. Joining Preply means helping define the future of education at integral scale, and building something that truly matters for millions of people, every day.

Meet the team At Preply, we're growing a talented Data Team to empower top-notch decision-making across our organization. Our team collaborates closely with various other chapters - including product, business, and platform - 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. Check out our Tech Radar to see the tools and technologies we love using at Preply!

What you’ll be doing:

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. Full ownership, not a support role.

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.

Design a unified measurement framework that ties MMM, attribution, and incrementality

together; MMM for big budget calls, incrementality-adjusted attribution for channel splits.

Drive cross-company initiatives that extend causal inference beyond marketing

into our experimentation platform, and into forecasting and risk work with Finance and Product.

Build and scale a full-stack self-service platform

that puts budget planning and incrementality testing directly in stakeholders' hands, working closely with engineers and marketing.

Work with Data Engineering to

build scalable pipelines and evolve our ETL

as the modeling stack grows (e.g. adopting Databricks).

What you need to succeed:

An AI mindset:

you use AI to work faster, automate where it makes sense, and help stakeholders do the same.

Hands-on MMM experience:

you know that getting it right means testing multiple approaches before converging on a robust, defensible model.

Strong grounding in

Bayesian statistics , applied with rigor to MMM and causal inference.

Experience turning

MMM outputs into action , in language marketing and finance can be used.

Experimentation expertise:

designing and evaluating incrementality tests and A/B experiments.





A talent for actionable insights, you design analyses with the decision in mind.

Strong Python and SQL skills.

A pragmatic

problem-solver

who finds the simplest path through complexity, rather than reaching for complicated models.

A creative, proactive builder, as good at finding the right problems as solving them.

Advanced written and verbal English.

Nice to have:

Previous experience with causal inference techniques (e.g. geo-lift testing, causal impact, synthetic control, difference in differences, etc.).

Previous experience with Databricks, Snowflake, Looker;

Previous experience with Apache Spark,

Knowledge of data orchestration tools (e.g. dbt and Airflow).

Experience 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 on Preply.com , Learning & Development budget and time off for your self-development;

A competitive financial package with equity, leave allowance and health insurance;

Not in Barcelona? We offer an attractive relocation package to join us in our Preply Barcelona Hub

Access to free mental health support platforms;

Access to Gympass-partnered wellness and gym centers throughout Spain to promote and support well-being and physical health;

The opportunity to unlock the potential of learners and tutors through language learning and teaching in 175 countries (and counting!).

Our Principles

Care to change the world

- We are passionate about our work and care deeply about its impact to be life changing.

We do it for learners

- For both Preply and tutors, learners are why we do what we do. Every day we focus on empowering tutors to deliver an exceptional learning experience.

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📌 Staff Data Scientist - Marketing (Barcelona)
🏢 Preply
📍 Barcelona