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Data Scientist – Analytics, Pricing 390 views

Airbnb’s Pricing team is looking for a Data Scientist in Analytics to help them build products that offer unbeatable prices for guests while making pricing on Airbnb easy, profitable and sustainable for hosts. As a Data Scientist on the Pricing team, you will leverage Airbnb’s rich data set to drive strategy and product decisions to meet these goals.

    • Translate complex findings and results in a compelling narrative
    • Define and evaluate key metrics and understand what moves them and why
    • Build and maintain key data sets and dashboards that empower operational and exploratory analysis.
    • Communicate analyses and recommendations to cross-functional stakeholders for strategic decision making
    • Strategize on making analyses easily repeatable and accessible

 

Experience

    • Professional industry experience in a quantitative analysis role (6+ years preferred)
    • Comfortable in SQL and some experience with a programming language, with Python or R a plus
    • Ability to communicate clearly and effectively to cross-functional partners of varying technical levels
    • Ability to define relevant metrics that can guide and influence stakeholders to appropriate and accurate insights
    • Experience or willingness to learn tools to create data pipelines using Airflow
    • Building clear and easy to understand dashboards and presentations
    • Ability to model and run experiments will be a plus

 

Required Qualifications

    • 5+ years of professional industry experience in a quantitative analysis role
    • Proficiency in SQL and experience with a programming language like Python, R, etc.
    • Ability to identify complex business problems and provide sound analytical/modeling solutions
    • Ability to communicate clearly and effectively to cross-functional partners of varying technical levels
    • Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
    • Experience or willingness to learn tools to create data pipelines using Airflow
    • Ability to build clear and easy to understand dashboards and presentations

 

Benefits

    • Stock
    • $2,000 yearly employee travel coupon
    • Competitive salary
    • Paid time off
    • Medical, dental, & vision insurance
    • Life & disability coverage
    • 401K
    • Flexible Spending Accounts
    • Apple equipment
    • Daily breakfast, lunch, and dinner

 

They are an equal opportunity employer and value diversity at their company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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