Senior Data Scientist (Travel Tech)

Location: United States - Remote; remote positions are also listed in San Francisco, New York, Austin, Boston, Washington D.C., and Dallas.

Salary: $160K–$210K plus equity.

Company

hirify.global is a travel technology platform combining large-scale data, AI, fintech, commerce, and loyalty products for consumers and B2B partners through hirify.global Technology Solutions.

What you will do

• Own the analytical relationship with a portfolio of HTS partners alongside Partner Success and Commercial teams.
• Design 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 analysis and reporting and help broader teams adopt these practices.
• Run exploratory analyses of partner and traveler behavior and translate findings into recommendations for product, engineering, and business leaders.
• Apply machine learning and statistical methods to large, messy datasets when they provide value, while using simpler metrics when appropriate.
• Build dashboards and self-service reporting in BigQuery, Looker, Tableau, Amplitude, and Google Sheets, and partner with product and engineering on future data needs.

Requirements

• Degree in Mathematics, Statistics, Computer Science, Engineering, Economics, another quantitative discipline, or equivalent practical experience.
• Extremely strong analytical and problem-solving skills, with experience 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, executive, and external partner audiences.
• Comfort working directly with partners, presenting findings, answering difficult questions live, and building trust with commercial counterparts.
• Deep SQL skills; experience with modern data warehouses such as BigQuery; and fluency in Python with Pandas or R for large-scale data preparation and analysis.
• Daily hands-on use of LLM-based tools such as Claude, ChatGPT, Cursor, or Copilot for code, SQL, analysis, and documentation, with judgment about their strengths and limitations.
• Experience building or deploying automated and agentic workflows, including scheduled pipelines, LLM-driven report generation, and prompt or skill libraries.
• Experience with data mining, machine learning, statistical modeling, and business reporting or experimentation tools such as Tableau, Looker, or Amplitude.
• Strong bias toward simplifying, templatizing, and shipping over polishing.

Nice to have

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

Culture & Benefits

• Well-funded startup with competitive salary and pre-IPO equity opportunities.
• Unlimited PTO, travel stipend, work-from-home stipend, and on-demand coworking access through FlexDesk.
• Generous parental leave, open communication with management and leadership, and small dynamic teams.
• Employer-paid medical, dental, and vision coverage, plus disability and life insurance.
• Health Reimbursement Account, DCA/FSA, and access to a 401(k) plan.

Hiring process

• Candidate suitability may be assessed using automated systems, while actionable decisions are made by a human team member.
• Under applicable local regulations, candidates may request information about assessment factors, correction of data, or human review of an automated decision.