preply - Senior Data Scientist - Paid Marketing Optimization
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Requirements
• 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. • 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).
Responsibilities
• 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;
Benefits
• An open, collaborative, dynamic and diverse culture; • A generous monthly allowance for lessons on Preply.com http://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;
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