[Work From Home] Staff Data Scientist - Inference, Marketing
Quick Overview:Start Date: Immediate openings availableCompensation: a competitive salaryPosition: Staff Data Scientist - Inference, Marketing TechnologyCompany: WorkwarpLocation: Remote  The Community You Will Join:
The Marketing Technology team is responsible for driving host and guest growth. We do this through devising data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine-learning models. We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding.
The Difference You Will Make:
We are looking for a 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 etc. 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. Examples of projects you might work on include developing Marketing Mix Model, design and analyzing Quasi-experimentation. If youÂre passionate about using your skills to understand and improve the impact of our marketing, we want to hear from you.
A Typical Day:
 Inference: Apply or develop causal inference methods, bayesian regression models to estimate the effect of AirbnbÂs online and offline advertising
 Experimentation: Design and analyze experiments to measure the effectiveness of our digital marketing spend
 AI/ML: Use LLM to understand user travel scenarios and preferences and optimize marketing touch points .
 Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
 Communication: Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
 Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Your Expertise:
 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a MasterÂs 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. Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Preferred qualifications
 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. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
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: [email protected]. Please include your full name, the role youÂre applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Apply Job! We Encourage You to Apply!Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
Apply Now
The Marketing Technology team is responsible for driving host and guest growth. We do this through devising data-driven marketing campaign strategies, reliable campaign delivery platforms, and advanced machine-learning models. We build products that allow us to reach more audiences, improve our targeting, and optimize our bidding.
The Difference You Will Make:
We are looking for a 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 etc. 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. Examples of projects you might work on include developing Marketing Mix Model, design and analyzing Quasi-experimentation. If youÂre passionate about using your skills to understand and improve the impact of our marketing, we want to hear from you.
A Typical Day:
 Inference: Apply or develop causal inference methods, bayesian regression models to estimate the effect of AirbnbÂs online and offline advertising
 Experimentation: Design and analyze experiments to measure the effectiveness of our digital marketing spend
 AI/ML: Use LLM to understand user travel scenarios and preferences and optimize marketing touch points .
 Insights: Generate insights about customer segments and the company's most valuable guests to improve ad effectiveness and optimize spend
 Communication: Work closely with a range of stakeholders to design and implement measurement of brand marketing campaigns
 Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights
Your Expertise:
 9+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a MasterÂs 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. Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Preferred qualifications
 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. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
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: [email protected]. Please include your full name, the role youÂre applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Apply Job! We Encourage You to Apply!Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team.
Apply Now