ਕੰਮ ਦਾ ਵੇਰਵਾ

About Airbnb

Founded in 2007 when two hosts welcomed three guests in San Francisco, Airbnb has grown to a global network of over 5 million hosts and more than 2 billion guest arrivals worldwide. The platform offers unique stays and experiences that enable guests to connect more authentically with communities across the globe.

Team Overview

The MarTech Data Science Measurement team at Airbnb empowers the organization to maximize marketing return on investment through data-driven decision making. The team defines and promotes best practices in measuring and optimizing marketing impact. Working closely with Marketing, Finance, Engineering, and Product teams, they deliver actionable recommendations and develop tools grounded in accurate, timely, and granular data measurements.

Role Impact

As an experienced Data Scientist on this team, you will serve as a technical expert supporting both pillars of the team. This role requires deep expertise in causal inference, experimentation, and customer relationship modeling. You will help maintain rigor in analytical solutions and foster data-driven decision making within cross-functional teams.

Key Attributes

Produce insights that empower confident business decisions.
Prioritize projects according to their projected value for Airbnb.
Adjust methodologies based on business questions and data constraints, recognizing limitations.
Ensure methodological rigor and quantify sensitivity of results.
Pursue innovation in measurement science and new methodologies.
Share expertise and findings internally at Airbnb and across the wider data science community.

Typical Responsibilities

Develop and apply causal inference methods to evaluate the effectiveness of marketing initiatives.
Extract and analyze data trends and engineer features to support measurement objectives.
Design and interpret experiments assessing marketing campaign impacts.
Collaborate with cross-functional teams to provide insights that enhance marketing strategies.
Lead production of internal white papers and contribute to technical blog posts.

Qualifications and Expertise

PhD in Economics, Statistics, Marketing, or related disciplines, or a Master's degree with over two years of relevant experience.
Strong command of causal inference techniques and experimentation frameworks.
Proficiency in statistical programming languages such as Python or R, along with SQL for database interactions and robust coding practices.
Ability to communicate complex technical topics to stakeholders with diverse technical backgrounds.
Demonstrated success resolving business challenges using data science methods.

Preferred Skills

Doctorate degree in Economics, Statistics, Marketing, or related areas.
Passion for marketing and consumer science with commitment to staying current on academic research.
Experience with Bayesian modeling and its marketing applications.
Expertise in causal machine learning modeling.
Track record of developing comprehensive end-to-end models supporting data-driven decisions.

Location and Work Arrangement

This position is remote-eligible within the United States, requiring residence in a state where Airbnb, Inc. is registered. Occasional visits to Airbnb offices or offsite events may be expected, in agreement with the manager. Candidates should verify eligibility based on location as the list of excluded states updates periodically.

Inclusion and Accessibility

Airbnb is committed to fostering a diverse and inclusive workforce. All qualified applicants are encouraged to apply. The company also supports disability inclusion throughout the hiring process and provides reasonable accommodations for candidates with disabilities during application and interviews.

Compensation and Benefits

Compensation depends on factors such as experience, skills, and business needs. The base salary range for this role is $151,000 to $175,000 annually. Additional benefits may include bonuses, equity packages, and employee travel credits.

Data Scientist, Platform