Senior Data Scientist- Travel Tech

Hopper; Dallas (TX); Presencial; USD 160.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Unlimited PTO

Carrot Cash travel stipend

FlexDesk access

Work-from-home stipend

Generous parental leave

Employer paid health coverage

Disability & Life insurance

401k plan

Descripción de la vacante

Hopper Technology Solutions (HTS) seeks a Senior Data Scientist to own analytic relationships with partner portfolios and build scalable machinery answering questions on supply health, pricing competitiveness and performance. You will influence decisions across product, engineering and business by delivering clear data-driven insights.

You will design templated reporting across hotels, flights, homes and cars, automate repetitive analyses with AI tools, and champion dashboards in BigQuery,

Formación

• Degree in a quantitative field or equivalent practical experience.
• Strong analytical and problem solving across multiple domains.
• Ability to translate complex technical work into clear narratives for non-technical audiences.
• Comfort with partner-facing presentations and executive-level communication.
• Fluent in SQL with BigQuery; Python with Pandas or R for data prep/analysis.
• Daily use of LLM tools (e.g., Claude, ChatGPT, Cursor, Copilot).
• Experience building automated, repeatable data workflows and reports.
• Experience with data mining, ML, and statistical modeling; know when to apply them.

Responsabilidades

• Own analytical relationship with HTS partners and deliver insights.
• Design repeatable reporting on supply health, pricing, and performance across hotels, flights, homes and cars.
• Automate analyses and reporting with AI assistants and code-generation tools.
• Frame explorations into actionable recommendations for product, engineering and leadership.
• Apply ML and statistical methods where they move the needle.
• Build dashboards and self-serve reporting in BigQuery, Looker, Tableau, Amplitude and Google Sheets.
• Collaborate with product and engineering to inform future questions.

Conocimientos

SQL

BigQuery

Python

Pandas

Data storytelling

Stakeholder management

Exploratory data analysis

LLM tools

Automation

Experimentation

Educación

Advanced degree in Math/Statistics/CS/Engineering/Economics or equivalent

Herramientas

BigQuery

Looker

Tableau

Amplitude

Google Sheets

Descripción del empleo

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.

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!

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 [e-mail]

Compensation Range: $160K - $210K