Data Scientist - Paid Marketing Optimization

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!

This role requires a real interest in the marketing bidding universe and the ability to work with a lot of ambiguity. You will go deep into each channel, understand its bidding and optimization behavior, and derive data driven solutions to increase each channel's ROI through bidding, audience and creative optimization. Marketing brings the business questions, you define the success metrics and the modeling approach to answer them. A lot of this is untapped territory and there is nothing off the shelf to buy, so inventing the approach and convincing your stakeholders of it is a big part of the job.

Our Principles

You might come from marketing DS, ads ML, recommender systems or any applied ML role where your model’s output fed another algorithm.