Data Scientist, Consumer Payments

United States

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Hopper analyzes billions of prices daily to predict how prices will change, and tells you whether to buy or wait. Save up to 40% on your next flight.

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About the job
We are looking for a DS with several years of experience and a background in experiments and causality.  Understanding of hypothesis testing, causality (including the use of causal inference experimentation methods), and simple statistical modeling are the traits we are looking for. Data obsession is always wanted.  As the DS leader for the Payments Vertical, you would 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.
The vision of the payments team is to provide a magical and frictionless payment experience to our customers. We will do this by supporting all the major payment methods (‘unlocking choice’), optimizing our payment stack (‘frictionless payments’) and unifying and powering all payments flows at Hopper (Flights, Hotels, Homes, Rental Cars, Attractions & more) as well as our Hopper Cloud offering (Whitelabel solution). 
Our long term vision is to remove any financial barriers to travel and truly make travel accessible to everyone. It’s cheaper, better and easier to purchase travel with Hopper!


  • Identify the impact driven by launching new Payment Methods, improving our payment stack and marketing the newly launched payment methods
  • Own & implement a smart payment routing logic catering to global transactions. 
  • Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users
  • Have ownership of the full data science lifecycle, including partnering with product, engineering and business teams to deliver customer focused products. 
  • 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

Minimum Qualifications

  • Extremely strong analytical and problem-solving skills and experience with Causal methods
  • Experience in Product Experimentation, XPs on funnel
  • Able to design, create and measure consumer facing experiments 
  • Proven ability to communicate complex technical work to a non-technical audience
  • Strong ability to communicate models and insights to stakeholders
  • Ability to break down complex business problems down to the data drivers
  • Experience with relational databases and SQL
  • Experience in Pandas, Python or other tools appropriate for large scale data preparation and analysis

Preferred Qualifications

  • 3-5 years of experience as a Data scientist
  • Experience with business reporting tools such as Tableau, Amplitude
  • A strong passion for and extensive experience conducting empirical research and answering hard questions with data
  • Comfortable collaborating with engineering to identify and own data science implementations in production
  • Experience with complex experimental design
More about HopperHopper is valued at $3.5bn making us the 5th most valuable travel business in the world.  We’re best known as a travel app and we just raised a further $175m from a funding round led by GPI Capital.  Our investors also include Goldman Sachs and Capital One for whom we exclusively power their travel portal.  
At Hopper, we’re on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing mobile first travel marketplace - one that enables our customers to save money and travel better. It’s cheaper to purchase travel with Hopper!
Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying process. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace-of-mind, Hopper adds value along each step of the customer’s journey.  
Recognized as one of the world’s most innovative companies by Fast Company three years in a row, Hopper has been downloaded over 60 million times and sees over 1.9 million new installs per month.   Our revenue growth is up 330% versus 2020 as we continue to outperform market recovery.
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.  Come take off with us!

* Salary range is an estimate based on our salary survey at

Tags: Big Data BigQuery Causal inference Engineering Machine Learning Pandas Python Research SQL Statistical modeling Tableau Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  5  0  0
Category: Data Science Jobs

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