Senior Data Scientist- Travel Tech

Posted 2 Hours Ago
7 Locations
In-Office or Remote
160K-210K Annually
Senior level
Travel
The Role
Own analytical relationships with travel technology partners, creating scalable reporting on supply, pricing, and performance. Conduct exploratory analysis, apply machine learning and statistical methods, build dashboards, automate recurring workflows with AI tools, and translate complex findings into recommendations for product, engineering, commercial, and executive audiences.
Summary Generated by Built In

About the Role
Hopper Technology Solutions (HTS) powers travel for some of the world's largest brands through our APIs, white label products and fintech, and every dataset we hold tells a story our partners need told clearly, repeatedly and fast. As a Senior Data Scientist on HTS you will own the analytical relationship with a portfolio of partners and build the machinery that answers their questions about supply health, pricing competitiveness and performance once, then answers them every week. You will be judged less on the sophistication of your models than on whether the people you work with, inside Hopper and across partner commercial teams, make better decisions because of you.

What would your day-to-day look like

  • Own the analytical relationship with a portfolio of HTS partners, working alongside Partner Success and Commercial to understand what they need, deliver it, and present it directly to their teams

  • Design and templatize repeatable reporting on supply health, pricing competitiveness and tenant performance that scales across hotels, flights, homes and cars without being rebuilt each time

  • Use AI assistants, agents and code generation tools as everyday collaborators to automate the repetitive parts of analysis and reporting, and help the broader team adopt the same practices

  • Frame and run exploratory analyses that deepen our understanding of partner and traveler behavior, and translate what you find into clear recommendations for product, engineering and business leaders

  • Apply machine learning and statistical methods to large, messy datasets where they move the needle, and recognize when a simple, well explained metric is the better answer

  • Build dashboards and self serve reporting in BigQuery, Looker, Tableau, Amplitude and Google Sheets, with an eye toward making yourself unnecessary for routine questions

  • Partner closely with product and engineering so the data we collect supports the questions our partners will ask next

An ideal candidate has

  • 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

  • A proven 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, plus 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 for writing code, SQL, analysis and documentation, and a point of view on where they help and where they fall short

  • Experience building or deploying automated and agentic workflows, from scheduled pipelines to LLM driven report generation and prompt or skill libraries, that turn one off analyses into repeatable products

  • Experience with data mining, machine learning and statistical modeling, and the judgment to know when to reach for them

  • Experience with business reporting and experimentation tools such as Tableau, Looker or Amplitude

  • A strong bias toward simplifying, templatizing and shipping over polishing

  • 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

Perks and benefits of working with us

  • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages

  • Unlimited PTO

  • Carrot Cash travel stipend

  • Access to co-working space on demand through FlexDesk AND Work-from-home stipend

  • Please ask us about our very generous parental leave, much above industry standards!

  • Entrepreneurial culture where pushing limits and taking risks is everyday business

  • Open communication with management and company leadership

  • Small, dynamic teams = massive impact

  • 100% employer paid Medical, Dental and Vision coverage for employees

  • Access to Disability & Life insurance

  • Health Reimbursement Account (HRA)

  • DCA/ FSA and access to 401k plan

About Hopper
At Hopper, we're building the leading travel technology platform in the world, and we're doing it by solving real problems for real travelers globally. Our Hopper consumer booking platforms and HTS (Hopper Technology Solutions), our B2B business, work together to give travelers something the industry has never reliably offered: transparency, flexibility, and real savings on every trip. We combine massive amounts of data and AI with proprietary fintech products to make that happen, not just another booking engine, but a fundamentally better way to plan and experience travel for our customers and our partners. We are proof that better-for-the-customer and better-for-the-business can be one in the same

And we're continuing to grow fast! The Hopper app has been downloaded over 120 million times, with 70% of our users being Gen Z and Millennials, next-generation travelers. Today, our biggest opportunity is powering travel fintech, commerce, and loyalty for some of the biggest brands in the industry. Our first HTS partnership with Capital One helped launch a dedicated travel portal for a major financial brand's cardholders, and we've since expanded across some of the biggest names in travel and banking, including Air Canada, Uber, Royal Bank of Canada (RBC), and Nubank, powering everything from a single fintech integration to a full end-to-end travel loyalty portal.

That's our trajectory: we started as a small, disruptive app within the travel space, and now we're the engine under the hood powering how Travel Tech works.

What that looks like in practice:

  • Billions of dollars in travel and travel fintech move through Hopper and HTS every year.

  • Our fintech products, including Cancel for Any Reason and Disruption Assistance for Any Reason, post exceptionally strong customer satisfaction because the terms are clear and resolutions are instant, no questions asked.

  • Nearly 30% of app customers add a fintech product to their booking, and those customers are 1.6x more likely to book with us again.

  • HTS now drives more than 90% of the business, proof of how fast B2B has scaled.

  • Through HTS, any travel provider (airlines, hotels, banks, travel agencies) can plug the company's fintech, commerce and AI solutions into their own channels, whether that's a single integration or a full end-to-end travel portal.

Come take off with us!
#LI-Remote

While this role utilizes automated systems to assess candidate suitability, every actionable decision is made by a human member of our team. Under local regulations, you have the right to understand the principal factors used in this assessment, request a correction of your data, or request a human review of any automated decision. To exercise these rights, please contact [email protected]

Skills Required

  • Degree in Math, Statistics, Computer Science, Engineering, Economics, another quantitative discipline, or equivalent practical experience
  • Extremely strong analytical and problem-solving skills
  • Track record of answering complex business questions with data across multiple domains or product lines
  • Ability to translate complex technical work into clear narratives for nontechnical and executive audiences
  • Comfort working directly with partners, presenting findings, and answering challenging questions
  • 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
  • Daily experience using LLM-based tools such as Claude, ChatGPT, Cursor, or Copilot for coding, SQL, analysis, and documentation
  • Experience building or deploying automated and agentic workflows, including scheduled pipelines or LLM-driven report generation
  • 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
  • Experience in a marketplace, B2B platform, or API distribution business
  • Experience with geographic data in search, filtering, or recommendation
  • Experience working with external customers in consulting, solutions, or customer analytics

Hopper Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hopper and has not been reviewed or approved by Hopper.

  • Healthcare Strength — Pay is often described as competitive for certain higher-paid roles, with employer-paid medical, dental, and vision coverage frequently highlighted as a standout part of the package. Remote-first support such as coworking access or work-from-home stipends is also framed as adding tangible value beyond salary.
  • Parental & Family Support — Parental leave is repeatedly characterized as very generous relative to typical market norms, making it a notable differentiator in the benefits mix. This strength is reinforced by broader leave policies that are positioned as supportive of families and caregiving needs.
  • Leave & Time Off Breadth — Unlimited or flexible PTO is commonly presented as a core benefit, sometimes alongside company-wide shutdown periods and remote-first flexibility. The combination of time-off breadth and distributed work options is portrayed as improving work-life value for many roles.

Hopper Insights

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The Company
HQ: Montréal
800 Employees
Year Founded: 2007

What We Do

Hopper is the smart way to book travel on your phone. Combining massive amounts of data and advanced machine learning algorithms, Hopper predicts and analyzes airfare and accommodation to save users money and enable them to travel more often.

Why Work With Us

Hopper was founded by a small group of big thinkers who knew that big-data and smart technology could help us solve the tricky problems that travel planning poses. Today, we are 300+ developers, designers, data scientists, creatives, travel junkies — and one dog — doing just that.

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