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Senior Data Scientist – Travel Tech

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 CA$150k - CA$180k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

Where this job comes from

Posted on Hopper's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Hopper

Hopper

201 - 500 employees

🏨 Hospitality

📦 Logistics

✈️ Travel

💰 $96M Venture Round on 2022-11

Hospitality • Logistics • Travel

Hopper is a travel booking platform that offers a one-stop solution for planning trips, including flights, hotels, rental cars, and homes. The platform features advanced options such as price prediction, disruption assistance, and the Price Freeze™ feature, allowing travelers to secure deals and manage changes conveniently. Hopper is known for its mobile app availability on iOS and Android, providing a streamlined experience for its users. It serves millions of travelers worldwide, offering VIP support and various affiliate programs for partners.

📋 Description

• Own the analytical relationship with a portfolio of HTS partners • Work alongside Partner Success and Commercial to understand partner needs, deliver analyses, and present findings directly to partner teams • Design and templatize repeatable reporting on supply health, pricing competitiveness and tenant performance 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 run exploratory analyses of partner and traveler behavior • Translate findings into recommendations for product, engineering and business leaders • Apply machine learning and statistical methods to large, messy datasets when appropriate • Build dashboards and self-serve reporting in BigQuery, Looker, Tableau, Amplitude and Google Sheets • Partner with product and engineering to ensure collected data supports future partner questions

🎯 Requirements

• A degree in Math, Statistics, Computer Science, Engineering, Economics or another quantitative discipline, or equivalent practical experience • Extremely strong analytical and problem solving skills, with a track record of answering hard 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 being partner facing, presenting findings, fielding tough questions live and building trust with commercial counterparts • Deep SQL skills and experience with modern data warehouses such as BigQuery • Fluency in Python and Pandas or R for large scale data preparation and analysis • Hands-on, daily use of LLM-based tools such as Claude, ChatGPT, Cursor or Copilot • Experience building or deploying automated and agentic workflows, from scheduled pipelines to LLM-driven report generation and prompt or skill libraries • Experience with data mining, machine learning and statistical modeling • Experience with business reporting and experimentation tools such as Tableau, Looker or Amplitude • Travel industry experience in lodging, air, vacation rentals or car rental, or in a marketplace, B2B platform or API distribution business, is a plus • Experience with geographic data in search, filtering or recommendation, or working with external customers in a consulting, solutions or customer analytics capacity, is a plus

🏖️ Benefits

• pre-IPO equity packages • Hopper covers 100% of the premiums for group insurance plan • life, short term and long term disability coverage • HSA that covers eligible medical and dental expenses • Dialogue's telemedicine services, anytime, anywhere • RRSP plan with automatic pre-tax withdrawals per pay • generous parental leave, much above industry standards • Unlimited PTO • Carrot Cash travel stipend • Access to co-working space on demand through FlexDesk • Work-from-home stipend • Entrepreneurial culture where pushing limits and taking risks is everyday business • Open communication with management and company leadership • Small, dynamic teams = massive impact

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