Senior Data Scientist - Marketing

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 global 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

Collaborate with performance marketing teams in coming up with data solutions to support the optimization of marketing campaigns, budgets and results;

Roll out Marketing Mix Modeling (MMM) to more countries and help build an automated MMM budget platform using advanced Bayesian statistics;

Design and analyze incrementality tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI;

Design a unified system that connects the dots between MMM and incrementality results;

Shape the testing roadmap;

Design our Creative Analytics framework, developing new metrics such as creative fatigue to help scale new channels;

Improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events;

Act as a sparring partner to our Applied AI team: support the roll-out of models, analyze their impact, understand feature importance, and bring both business and data science knowledge to guide these projects;

Work closely with the Data Engineering team in the creation of scalable data pipelines while guaranteeing an optimal evolution of our ETL processes, as well as the adoption of new tools and frameworks;

Contribute to cross-company initiatives in alignment with our data organization's vision;

Support proactively the application of predictive models in performance marketing channels.

What you need to succeed

An AI mindset: you use AI to boost your efficiency, love working agentically, automate processes, and enable your stakeholders with AI;

A pragmatic problem-solver at heart: you dig into complexity to find the simplest, most elegant path through it, guided by curiosity rather than a love of complicated models;

Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products;

Knowledge of incrementality and attribution;