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.
Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying and taking 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.
Hopper has launched several bespoke fintech products that leverage our immense first and third-party data to create products and value that do not exist elsewhere - including Refundable and Flexible Tickets and Price Freeze. Thanks to these offerings, Hopper’s revenue growth is up 112% despite the travel slowdown due to COVID-19.
With over $250M CAD in... funding from leading investors in both Canada and the US, Hopper is primed to continue its acceleration to becoming the world’s fastest-growing end-to-end customer-centric travel offering.
Recognized as one of the world’s most innovative companies by Fast Company three years in a row, Hopper has been downloaded over 50 million times and sees over 1 million new installs per month. The app has received high praise in the form of mobile accolades such as the Webby Award for Best Travel App of 2019.
Come take off with us!
At Hopper, every dataset tells a story. Do you have what it takes to decipher the clues? bit.ly/2q6U8dq
We’re looking for a data-savvy individual to join our team as a Data Scientist to support data-centric product development in our ground transportation group.
You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience.
IN THIS ROLE, YOU WILL:
Frame and conduct complex exploratory analyses needed to deepen our understanding of our users.
Partner with product, engineering and business teams to contribute to product improvements and new initiatives
Use machine learning and big data tools on tremendously large and complex data to deepen our data-driven advice and personalized modeling
Conduct research into various aspects of our business and employ statistical and modeling techniques when appropriate to make recommendations to non-technical stakeholders
A PERFECT CANDIDATE HAS:
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 with relational databases and SQL, especially Hive
Experience working with extremely large data sets
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
Proficiency with Unix/Linux environments
OFFERING REMOTE WORK FROM THE FOLLOWING STATES: