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Airbnb

Data Scientist, Platform

Airbnb

Data 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 fit
Core Competencies

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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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Applicant Tracking System Keywords

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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 & technologies
PythonSQL

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