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Data Scientist – Lodging Team


  • Posted on: October 8, 2020
We’re looking for a motivated data scientist and data wrangler to help us capitalize on a variety of key data-centric product opportunities within the lodging business.  At Hopper, every dataset tells a story. Do you have what it takes to decipher the clues? bit.ly/2q6U8dq
You might be a great fit for our team if you’re a self-starter who thrives on uncertainty, and who’s passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver value to our customers. To succeed at Hopper you need the talent, drive, and experience to thrive in a highly performing company.
We collect and archive pricing data for hotels and homes pricing from a dozen providers; rich metadata at property, room and user level; as well as sourcing geographic data about property and related context like airports, points of interest, neighborhoods and political boundaries.
Specific challenges include measuring and predicting specific hotel sales performance to drive dynamic pricing; improving our automated sort order; driving re-engagement via collaborative filtering; personalized recommendations based on observed customer behavior; and better leveraging geographic data in search, filtering and recommendation.
  • Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users
  • Partner with product, engineering and business teams to contribute to product improvements and initiatives
  • Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
  • Create advanced dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets.
  • Find effective ways to simplify and communicate analyses to a non-technical audience.
  • A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines
  • Extremely strong analytical and problem-solving skills
  • Proven ability to communicate complex technical work to a non-technical audience
  • A strong passion for and extensive experience in conducting empirical research and answering hard questions with data
  • Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis
  • Experience with data mining, machine learning, statistical modeling tools and underlying algorithms
  • Experience with relational databases and SQL, including geographical data
  • Experience with business reporting tools such as Tableau, Amplitude
  • Proficiency with Unix/Linux environments
  • Well-funded and proven startup with large ambitions, competitive salary and stock options
  • Dynamic and entrepreneurial team where pushing limits is everyday business
  • 100% employer paid medical, dental, vision, disability and life insurance plans
  • Access to a 401k (US) or Retirement Savings Plan (Canada)
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