Experienced Staff Data Scientist - Inference, Marketing Technology Leader for Driving Business Growth through Data-Driven Insights and Strategic Decision Making

Introduction to Airbnb and Our Mission

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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. As a leader in the travel and hospitality industry, we are committed to fostering a culture of innovation, inclusivity, and community-driven growth. Our Marketing Technology team plays a vital role in driving host and guest growth through data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine-learning models.

The Community You Will Join

The Marketing Technology team is responsible for devising and implementing data-driven marketing strategies that drive business growth and customer engagement. We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding. As a Staff Data Scientist - Inference, Marketing Technology, you will be part of a talented team of data scientists, engineers, and marketers who are passionate about using data to tell stories and drive business decisions. Our team is committed to fostering a culture of collaboration, creativity, and continuous learning, and we are excited to welcome a new team member who shares our passion for data-driven marketing and customer insights.

The Difference You Will Make

We are looking for a highly skilled and experienced Data Scientist to drive improvement of our measurement of brand marketing and develop insights that support how we plan and optimize campaigns, such as creatives, landing pages, and more. The ideal candidate will have a strong knowledge of causal inference, understanding of Bayesian modeling and its application in marketing, the ability to work effectively with multiple stakeholders, and an eagerness to improve our campaign strategies. As a Staff Data Scientist - Inference, Marketing Technology, you will have the opportunity to work on a wide range of projects, including developing Marketing Mix Models, designing and analyzing quasi-experiments, and using machine learning algorithms to optimize marketing touch points. Your work will have a direct impact on our business, and you will be empowered to think strategically about opportunities to improve and scale our brand measurement and customer insights.

A Typical Day

As a Staff Data Scientist - Inference, Marketing Technology, your day will be filled with a variety of challenging and exciting projects. Some of your responsibilities will include:

• Applying or developing causal inference methods, Bayesian regression models to estimate the effect of Airbnb's online and offline advertising
• Designing and analyzing experiments to measure the effectiveness of our digital marketing spend
• Using machine learning algorithms to understand user travel scenarios and preferences and optimize marketing touch points
• Generating insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
• Working closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
• Thinking strategically about opportunities to improve and scale our brand measurement and customer insights

Your Expertise

To be successful in this role, you will need to have a strong and diverse skillset in relevant areas, including:

• 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master's degree or PhD in a quantitative field
• Strong fluency in Python or R for hands-on IC work and advanced data analysis in SQL at scale
• Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community, that demonstrates an eagerness to learn and share
• Comfort to collaborate with product managers and software engineers to design and understand complex systems
• Knowledge with Bayesian Modeling, MMM and multi-sided markets
• Strong knowledge of causal inference, statistics and experimentation
• Skilled in statistical programming (Python or R) and database usage (SQL)
• Ability to solve business problems using appropriate methods and models
• Ability to communicate clearly and effectively to cross-functional partners of varying technical levels and drive impact
• Ability to translate complex findings and results into a compelling narrative

Preferred Qualifications

While not required, the following qualifications are preferred:

• PhD in Economics, Statistics, Marketing, or related field
• Passion for marketing and consumer science; a desire to keep up with and find opportunities to apply academic research

Your Location

This position is US - Remote Eligible, which means you can work from anywhere in the United States. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Please note that you must live in a state where Airbnb, Inc. has a registered entity. You can find the up-to-date list of excluded states on our website.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com.

How We'll Take Care of You

At Airbnb, we are committed to providing our employees with a comprehensive compensation package that includes a competitive salary, bonus, equity, benefits, and Employee Travel Credits. The base pay range for this role is $192,000-$243,000 USD, depending on your experience and qualifications. We also offer a range of perks and benefits, including flexible work arrangements, professional development opportunities, and access to our global network of hosts and guests.

Conclusion

If you are a highly motivated and experienced Data Scientist who is passionate about using data to drive business growth and customer insights, we encourage you to apply for this exciting opportunity. As a Staff Data Scientist - Inference, Marketing Technology at Airbnb, you will have the chance to work on challenging and impactful projects, collaborate with a talented team of data scientists and marketers, and contribute to the growth and success of our company. Don't miss out on this opportunity to join our team and take your career to the next level. Apply now!