Key Responsibilities

• Develop and automate efficient data pipelines that streamline data validation, testing, and other key processes to accelerate the work of the data science team.
• Refine and productionalize prototypes developed by other data scientists to integrate seamlessly into our production systems.
• Apply causal inference methodologies, particularly Media Mix Modeling (MMM), to estimate the effectiveness of Airbnb’s marketing strategies.
• Analyze trends, perform data pulls, and create new features to support measurement efforts that optimize marketing campaigns.
• Work closely with stakeholders across marketing and other teams to deliver insights that directly influence decision-making.

Required Qualifications

• PhD in Economics, Statistics, Marketing, or a related field, or Master’s Degree in a similar field with relevant experience.
• Data Management: Deep knowledge of tools and systems, including Apache Airflow and Spark.
• Programming: Proficient in Python and R for statistical analysis and model building.
• Database Skills: Advanced SQL skills for querying and managing databases.
• Causal Inference: Practical experience with Media Mix Modeling (MMM) or similar methods for assessing the impact of marketing initiatives.
• Ability to clearly communicate complex concepts to both technical and non-technical stakeholders.
• Proven track record of solving business problems through data science techniques, especially in marketing contexts.

Preferred Qualifications

• Passion for marketing and consumer science, and a drive to stay informed about the latest industry trends.
• Experience with Bayesian modeling or causal ML modeling.
• Experience developing end-to-end data models to enable data-driven decision-making at scale.

Posted By