Senior Data Scientist - Paid Marketing Optimization

Senior 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 https://www.linkedin.com/posts/preply_data-team-uncovered-activity-7232342101730971652-3ate?utm_source=share&utm_medium=member_desktop 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 https://tech-radar.preply.com/ 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 - Use recommendation systems and clustering to uncover the most effective combinations of search terms, keywords, ad copies, and landing pages that maximize effectiveness of our paid search channel; - Scale new channels and improve targeting and bidding strategies by using regression models to assign predictive weights to funnel events; - Lead the rollout of LTV models and use early insights to guide marketing investments, product decisions, and uncover high-leverage opportunities across the business - including CRM, Customer Support, Refer-a-Friend, and more - while proactively sharing learnings to inform cross-functional strategy and prioritization. - Design and analyze A/B tests to measure marketing effectiveness, applying advanced methods like causal inference to quantify incremental ROI - 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 on 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 - Extensive experience as a Data Scientist working with performance marketing teams in a B2C environment, delivering business insights and building data products; - Knowledge of bidding, incrementality, and attribution. - Skilled in developing and deploying machine learning models; - Experience with experimentation (design and evaluation of A/B tests); - Experience working in Marketplaces and/or digital businesses environments, in the context of performance marketing; - Strong coding skills in SQL and Python; - Creative mindset and proactive attitude towards the creation and evaluation of new solutions; - Strong curiosity, problem solving and problem finding skills; - Advanced written and verbal communication skills in 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, ... (truncated, view full listing at source)