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Hopper

Tech-driven travel price-prediction platform

Senior Data Scientist

Data Science +1Confirmed live in the last 24 hours
Full-timeMontreal, QC, CanadaRemote

About the Job

Requirements

  • A degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative discipline, or equivalent practical experience.
  • Strong analytical and problem-solving skills, with a track record of answering complex questions with data across more than one domain or product line.
  • Ability to turn complex technical work into simple, credible narratives for non-technical and executive audiences, including external partners.
  • Comfort presenting findings to partners, answering challenging questions live, and building trust with commercial counterparts.
  • Deep SQL skills and experience with modern data warehouses such as BigQuery, plus fluency in Python and Pandas or R for large-scale data preparation and analysis.
  • Hands-on daily use of large language model-based tools such as Claude, ChatGPT, Cursor, or Copilot for writing code, SQL, analysis, and documentation, with an understanding of their strengths and limitations.
  • Experience building or deploying automated and agentic workflows, including scheduled pipelines, large language model-driven report generation, and prompt or skill libraries, to turn one-off analyses into repeatable products.
  • Experience with data mining, machine learning, and statistical modeling, and judgment about when to use them.
  • Experience with business reporting and experimentation tools such as Tableau, Looker, or Amplitude.

Responsibilities

  • Own the analytical relationship with a portfolio of HTS partners, working with Partner Success and Commercial to understand partner needs, deliver analyses, and present results directly to partner teams.
  • Design and templatize repeatable reporting on supply health, pricing competitiveness, and tenant performance that scales across hotels, flights, homes, and cars.
  • Use AI assistants, agents, and code-generation tools to automate repetitive analysis and reporting, and help the broader team adopt these practices.
  • Frame and conduct exploratory analyses of partner and traveler behavior, and translate findings into clear recommendations for product, engineering, and business leaders.
  • Apply machine learning and statistical methods to large, messy datasets when useful, and recognize when a simple, well-explained metric is the better answer.
  • Build dashboards and self-service reporting in BigQuery, Looker, Tableau, Amplitude, and Google Sheets to support routine questions.
  • Partner with product and engineering teams so collected data supports partners’ future questions.

Desired Qualifications

  • Travel industry experience in lodging, air travel, vacation rentals, or car rental, or experience in a marketplace, B2B platform, or API distribution business.
  • Experience with geographic data in search, filtering, or recommendation, or experience with external customers in consulting, solutions, or customer analytics.

About the Company

Hopper

Tech-driven travel price-prediction platform

Hopper is a travel and fintech platform that helps people save money on flights, hotels, and car rentals by using big data and algorithms to forecast price changes. Its mobile app and website analyze billions of prices daily to predict when prices will rise or fall and advise users on the best times to book, potentially delivering significant savings. The product works through a combination of price predictions, booking options, and a user-friendly interface that shows recommended booking times and alert signals. Revenue comes from commissions on bookings made through the platform and a premium subscription that unlocks extra features and benefits. Hopper differentiates itself by focusing on price forecasting and savings guidance at the individual traveler level, backed by a global support network and flexible work model. The company’s goal is to help consumers consistently secure better travel deals while growing via commissions and paid premium services.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$731M
Headquarters
Montreal, Canada
Founded
2007

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