Data Science Manager, Inference - Homes Platform

San Francisco, United States

Full Time
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Posted 1 day ago

Improving Airbnb's collection (and use) of structured data is a critical priority for the company in 2021 and beyond. The Hosting Platform team is responsible for critical pieces of this effort particularly with respect to taxonomy, understanding the value of attributes, driving coverage and building foundations. Success of the structured data initiative will have a transformative effect on the business.

Data Science will play a significant role in this work, and we need a technical leader who can both drive data science strategy and build the data products and models we need. Key DS initiatives that need direct support and/or strategic guidance include (but are not limited to):

  • Building a framework to prioritize coverage, including measuring the value of listing attributes (with respect to bookability, CS costs and more) and estimating how effective we are at driving coverage through different channels.
  • Setting ML strategy. ML initiatives include extracting structured data from unstructured sources (e..g images, descriptions, message threads) and partnering with Ops to make human review processes more efficient.
  • Establishing processes for evaluating ground truth, so that we can measure our successes in driving attribute coverage and assessing accuracy.
  • Guiding data foundations work so that we have the right data models in place to measure progress on coverage, effectiveness and value.
  • Partnering with engineering to ensure that the structured data foundations support the data driven strategy we need for a step change to increase attribute coverage.
  • Set the short and long term roadmap for Hosting DS work in this space.

As well as deep inference and modeling skills, this role will require technical leadership, stakeholder management and the ability to form strong partnerships with cross-functional and data science peers. This is a high impact, high visibility position.

Experience

  • 6+ years professional experience, or PhD in a quantitative field including Applied Math, Statistics, Operations Research, Economics, or Computer Science
  • Experience as a Tech Lead or equivalent position is highly preferred 
  • Experience working with cross functional leadership 
  • Proven achievements resulting from data analysis
  • Proven ability to succeed in both collaborative and independent work environments
  • Experience with languages used for querying (e.g. Hive/Pig/SQL), preprocessing (e.g. unix/python), and statistical analysis (e.g. R/Python)
  • Experience developing or contributing to a technical roadmap or project planning is a plus 

Benefits

  • Stock
  • $2000 yearly employee travel coupon
  • Competitive salary
  • Paid time off
  • Medical, dental, & vision insurance
  • Life & disability coverage
  • 401K match
  • Flexible Spending Accounts
  • Apple equipment
  • Daily breakfast, lunch, and dinner

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

Job tags: Economics Engineering ML Python R Research SQL Travel
Job region(s): North America
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