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Data Scientist, Platform
AirbnbData Scientist optimizing marketing ROI through causal inference and experimentation techniques. Collaborating cross-functionally to provide actionable recommendations for marketing impact.
Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $151,000 - $175,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in causal inference methodologies and experimentation techniques, combined with proficiency in statistical programming and data analysis to drive effective marketing strategies. Strong communication skills to convey complex data insights to diverse stakeholders.
Highest-signal resume keywords
Causal Inference MethodologiesStatistical Programming (Python or R)Database Usage (SQL)Experimentation TechniquesData Science Problem Solving
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Causal InferenceStatistical ProgrammingData AnalysisExperiment DesignFeature Engineering
Soft Skills
Clear CommunicationCross-Functional Collaboration
Certifications & Qualifications
PhD in Economics, Statistics, Marketing, or Related FieldMasters Degree in Similar Field
Industry Keywords
Marketing InitiativesData PullsTrend AnalysisMarketing CampaignsInternal White Papers
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Apply and develop causal inference methods to estimate the effectiveness of Airbnb’s marketing initiatives.
- Conduct data pulls, analyze trends, and create new features to support measurement efforts.
- Design and analyze experiments to evaluate the impact of marketing campaigns.
- Work effectively with cross-functional teams, providing insights that optimize marketing strategies.
- Lead the creation of internal white papers and contribute to Airbnb tech blog posts.
Requirements
What you’ll need- 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), database usage (SQL), and agentic coding.
- Ability to communicate complex concepts clearly to stakeholders at varying technical levels.
- Proven track record of solving business problems through data science methods.
Benefits
Comp & perks- bonuses
- equity
- Employee Travel Credits