Created about 1 month ago
Hopper Hopper

Senior Data Scientist at Hopper

Remote in Latin America

  • Somyat Pradhan
  • Jose Paz
  • Nicolas Lizama Correa
  • David Augusto Villabón Borja
  • Diego Graselli
  • Cecilia Guillamet Chargue
  • Jerome Smith
55 Applicants

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Job details

These are the details of the job, consider each of them before you apply.

  • Company: Hopper
  • Salary: Salary to be Agreed
  • Remote?: Yes

Job Description:


At Hopper, we're on a mission to build the most customer-centric travel company on earth. We are harnessing 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 at every stage of the process, from purchase to travel. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace of mind, Hopper brings value throughout every step of the customer journey.

Leveraging immense first- and second-party data, Hopper has launched several high-value customer-facing fintech products that do not exist elsewhere, such as refundable, flexible tickets and price freezes. Thanks to these offerings, Hopper's revenue growth has increased 112% despite the slowdown in travel due to COVID-19.

With over C$250 million in funding from leading investors in both Canada and the United States, Hopper is poised to continue its acceleration and become the fastest growing customer-centric travel company in the world.

Recognized as one of the world's most innovative companies by Fast Company three years in a row, Hopper has been downloaded more than 50 million times and has more than one million new installs per month. The app has received high praise in the form of accolades, such as the Webby Award for Best Travel App of 2019.

Come and let's travel together!


At Hopper, every dataset tells a story. Do you have what it takes to decipher the clues?

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.


  • 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 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

Hiring policy
The personal data you provide as an applicant to Hopper through this website, shall be transferred by such receiver to Hopper under our terms and conditions for application purposes. Consequently, by sending your information through of the website, you consent to the transfer of personal data to third parties, in compliance with the provisions of the Laws for the Protection of Personal Data from each country where has a presence, as the consent is free, prior, express, unequivocal and informed.
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