Sr Data Scientist, Hotels Marketplace at Hopper

| Greater Boston Area
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Hopper offers a remote work policy that empowers employees to work from anywhere. Employees have the opportunity to work in an office environment or they can receive a work-from-home stipend if they prefer to work from home.

About the job

We’re looking for a motivated data scientist and data wrangler to help us capitalize on key data-centric product opportunities within the hotel business.
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 from a dozen providers; rich metadata at the property, room and user level; as well as geographic data about each property and the related context like airports, points of interest, neighbourhoods and political boundaries.
Specific challenges include measuring and predicting specific hotel sales performance to drive dynamic pricing; improving our automated sort order; personalized recommendations based on observed customer behaviour; and better leveraging geographic data in search, filtering and recommendations.

Minimum qualifications

• Minimum 4 years of working experience in related role
• 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 conducting empirical research and answering hard questions with data
• Experience with relational databases and SQL, including geographical data
• Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis
• Experience with data mining, machine learning, statistical modelling tools and underlying algorithms
• Experience with business reporting tools such as Tableau, Amplitude
• Proficiency with Unix/Linux environments

In this role, you will :

  • 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

Benefits of working with us:

  • Well-funded and proven startup with large ambitions, competitive salary and stock options
  • Unlimited PTO
  • WeWork All Access Pass OR Work-from-home stipend
  • Entrepreneurial culture where pushing limits and taking risks is everyday business
  • Open communication with management and company leadership
  • Small, dynamic teams = massive impact
  • 100% employer paid medical, dental, vision, disability and life insurance plans
  • Access to a 401k 

More about Hopper
Today, Hopper is best known as a travel app. We're going to do about $1B in sales this year and weathered the COVID storm better than anyone expected. We just raised $170M from Goldman Sachs and Capital One, and inked a deal to be the exclusive travel provider for Capital One Travel.

We owe our success, in large part, to a proprietary suite of data-driven and risk-based financial services that we have developed that complement a customer's trip-purchasing experience. One example is Price Freeze, where our customers are able to purchase a financial option in the app to lock in any price that they see, on any item, for as short as 1 hour or as long as 21 days with Hopper taking the risk on the other side of the trade.

Now we're laying the groundwork for continued expansion in 2021 by adding great people to our team who can help us compete with the travel giants.


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