Intern- Data Scientist, Price Freeze

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!
THE ROLE:We’re looking for a data science intern to audit data integrity, document the data architecture and drive data quality improvements in collaboration with our backend infrastructure engineers. Because 80% of data science work involves data wrangling, this work improves the analytical correctness and velocity of all data scientists.
This includes systematically documenting a data science dictionary that solves problems like:-Knowing which table and field has the data you’re looking for-Knowing the technical definition and vernacular definition of the data field-Knowing the direct source or calculation behind the data field-Knowing which fields can be used to join which tables-Identifying variables that have different names in several different tables -Identifying variables that have the same name in different tables but give different values -Identifying variables that are foundational to the business but are currently missing
This person would also work with Engineering to communicate mistakes found, recommend changes, create SQL views of “gold standard sources of truth” and track Engineering corrections over time. 
They would create a Data Science version of an Entity Relationship Diagram (e.g. what are the “quantum” units of different “objects” like clients, app events, policies and requests and how they all relate to each other).
They would document idealized business metrics, what proxy metrics currently exist and what new metrics could be created to bridge the gap. 
AN IDEAL CANDIDATE HAS: -A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines-At least 1 year’s academic or practical experience in SQL-At least 1 year’s academic or practical experience in data wrangling with Python Pandas-The ability to write code in both SQL and Python for common data wrangling tasks. -Excellent written communication skills with a non-technical writing sample required-Any of the following experiences would be nice to have but not required: git, BigQuery, Jupyter, handling JSONs, experience with extremely large datasets



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!