Description
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.
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.
Responsibilities:
- 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
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
- 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
Perks and benefits:
- Competitive salary ($160K - $210K)
- Unlimited PTO
- Carrot Cash travel stipend
- Access to co-working space on demand through FlexDesk and Work-from-home stipend
- Generous parental leave
- Entrepreneurial culture
- 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