Sr. Data Scientist

The Sr. Data Scientist will be responsible for driving insights and recommendations in support of marketing strategies, working closely with cross-functional teams to optimize decision-making processes. This position requires hands-on data work to influence impactful decisions and enhance the company's marketing efforts.

Key Responsibilities
Data Pipelines: Build and optimize novel data pipelines that accelerate the work of the data science team, including automating data validation, unit testing, and other processes.
Productionalizing Prototypes: Refine prototypes built by other data scientists and prepare them to be production-ready within Airbnb’s systems.
Causal Inference: Develop and apply causal inference methods, especially around Marketing Mix Modeling (MMM), to estimate the effectiveness of Airbnb’s marketing initiatives.
Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.
Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.

Required Skills & Qualifications
Education:Ph.D. in Economics, Statistics, Marketing, or a related field, or
A Master’s Degree in a similar field with 2+ years of experience in a related role.

Experience:Deep knowledge of data management tools, systems, and processes, including Apache Airflow and Apache Spark.
Proficiency in statistical programming languages (Python and R) and database management using SQL.
Proven experience in media mix modeling (MMM).
Ability to effectively communicate complex concepts to stakeholders at varying technical levels.
A track record of solving business problems through data science methods.
Preferred Skills & Qualifications
Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field.
Familiarity with Bayesian modeling and its applications in marketing.
Experience with causal ML modeling.
Experience developing end-to-end models for data-driven decision-making.
Additional Information