Senior Data Scientist - Paid Marketing Optimization

About Preply

At Preply, we're dedicated to transforming education through human-led, AI-enhanced learning, creating life-changing experiences for millions. Having recently achieved unicorn status with a $150M Series D, we are rapidly accelerating our vision. With over 100,000 tutors teaching 90+ languages to learners in 180 countries, we are defining the future of global education. Joining Preply means contributing to something truly impactful and helping shape learning at scale.

Meet the Team

Our talented Data Team at Preply drives top-notch decision-making across the organization, collaborating closely with product, business, and platform chapters. We leverage analysis, experimentation, causal inference, and machine learning. As a Senior Data Scientist - Paid Marketing Optimization, you'll be embedded in cross-functional teams, partnering with our MarTech Product Manager, Marketeers, Tech Leads, and the Data Strategy team. Explore our Tech Radar to see the tools and technologies we utilize.

What You'll Be Doing

• Collaborate with performance marketing teams to develop data solutions that optimize marketing campaigns, budgets, and results.
• Utilize recommendation systems and clustering to identify the most effective combinations of search terms, keywords, ad copies, and landing pages for maximizing paid search effectiveness.
• Scale new channels and enhance targeting/bidding strategies using regression models to assign predictive weights to funnel events.
• Lead the rollout of LTV models, using early insights to guide marketing investments, product decisions, and uncover high-leverage opportunities across the business (e.g., CRM, Customer Support, Refer-a-Friend). Proactively share learnings to inform cross-functional strategy.
• Design and analyze A/B tests to measure marketing effectiveness, applying advanced causal inference methods to quantify incremental ROI.
• Work closely with the Data Engineering team to create scalable data pipelines and ensure optimal evolution of ETL processes, including adopting new tools and frameworks.
• Contribute to cross-company initiatives, aligning with our data organization’s vision.
• Proactively support 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.
• Proficient knowledge of bidding, incrementality, and attribution.
• Skilled in developing and deploying machine learning models.
• Experience with experimentation, including the design and evaluation of A/B tests.
• Experience working in marketplaces and/or digital business environments, specifically in performance marketing.
• Strong coding skills in SQL and Python.
• Creative mindset and proactive attitude towards creating and evaluating 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).
• Previous experience with Databricks, Snowflake, Looker.
• Previous experience with Apache Spark.
• Knowledge of data orchestration tools (e.g., dbt and Airflow).

Key Skills/Competency

• Data Science
• Performance Marketing
• Machine Learning
• A/B Testing
• Causal Inference
• LTV Modeling
• SQL
• Python
• Marketing Optimization
• Recommendation Systems