Senior Data Scientist, Guest & Host Product (Remote)

CloudDevs

Northern (KY)

Hybrid

USD 179,000 - 210,000

Full time

14 days+
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Job summary

Airbnb is seeking a data scientist to build models and data products that influence pricing, search, and marketplace outcomes. You will collaborate with product, design, engineering, and analytics teams to deploy data-driven features and experiments at scale.

The role emphasizes strong coding in SQL and Python or R, plus expertise in causal inference and ML techniques to drive measurable impact across our hosts and guests worldwide.

Qualifications

  • 5+ years of experience with BS/masters degree, 2+ years of experience with PhD.
  • Experience with experimentation, causal observational analysis, and machine learning techniques.
  • Experience partnering with product, engineering, and design to enable data-driven model or product development.
  • Strong coding skills in SQL and either Python or R.
  • Strong oral and written communication skills.

Responsibilities

  • Build models and data-driven products to improve Airbnb marketplace and product.
  • Collaborate with cross-functional partners across Product, Design, Engineering, and Analytics.
  • Write software in Python, SQL, or R to model, simulate, and measure the impact of new features.
  • Apply causal inference methods to measure impact of pricing tool and other features.
  • Communicate findings to leaders and stakeholders to drive data-driven decisions.

Skills

SQL
Python or R
Experimentation
Causal analysis
Machine learning
Communication

Education

BS or MS in a quantitative field
PhD

Job description

Airbnb is seeking a data scientist to build models and data products that influence pricing, search, and marketplace outcomes. You will collaborate with product, design, engineering, and analytics teams to deploy data-driven features and experiments at scale.

The role emphasizes strong coding in SQL and Python or R, plus expertise in causal inference and ML techniques to drive measurable impact across our hosts and guests worldwide.

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