Senior Data Scientist - Marketing at Preply
Germany
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Work with performance marketing to design and implement data-driven optimizations for campaigns and budgets.
- Deploy Marketing Mix Modeling (MMM) and build automated MMM budget tools using Bayesian approaches.
- Design and run incrementality and causal inference tests to measure incremental ROI and inform channel decisions.
- Develop a unified framework that ties MMM results to experiment-based incrementality findings.
- Create creative analytics and predictive models to improve targeting, bidding and creative rotation strategies.
- Partner with Data Engineering and Applied AI to productionize models, maintain ETL pipelines and monitor model health.
Requirements:
- Strong proficiency in SQL and Python with hands-on marketing analytics experience.
- Deep understanding of MMM, Bayesian statistics, causal inference and experimentation methodologies.
- Experience building scalable data pipelines and deploying models to production (ETL, dbt, Airflow, Databricks/Snowflake, etc.).
- Solid communication skills to translate analytical results into business recommendations.
- AI-forward mindset: able to use automation and AI to increase productivity and scale insights.
- Prior experience in performance marketing or B2C analytics is highly desirable.