Data Scientist, Inference (Martech)

Airbnb

5d•Remote

About The Position

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI through data-informed decision-making. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. The Difference You Will Make: We are seeking an experienced Data Scientist with deep expertise in causal inference methodologies, including experimental and observational approaches. The ideal candidate will be capable of hands-on data work to produce insights and recommendations for stakeholders, driving impactful decisions in our marketing efforts. Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community.

Requirements

PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.
Deep knowledge of causal inference methodologies and experimentation techniques.
Proficiency in statistical programming (Python or R) and database usage (SQL).
Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
Proven track record of solving business problems through data science methods.

Nice To Haves

PhD in Economics, Statistics, Marketing, or a related field.
Passion for marketing and consumer science, with a desire to stay informed about the latest academic research.
Familiarity with Bayesian modeling and its applications in marketing.
Experience with causal ML modeling.
Experience in developing end-to-end models for data-driven decision-making.

Responsibilities

Causal Inference: Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
Data Analysis: Conduct data pulls, analyze trends, and create new features to support measurement efforts.
Experimentation: Design and analyze experiments to evaluate the impact of marketing campaigns.
Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
Thought Leadership: Lead the creation of internal white papers and contribute to Airbnb tech blog posts.