Senior Data Scientist- Travel Tech

Description: Own the analytical relationship with a portfolio of HTS partners, delivering insights on supply health, pricing competitiveness, and performance. Design repeatable reporting systems that scale across various travel sectors without needing reconstruction. Utilize AI tools to automate analysis and reporting processes. Conduct exploratory analyses to enhance understanding of partner and traveler behavior, providing actionable recommendations. Apply machine learning and statistical methods to large datasets, balancing complexity with clarity. Build dashboards and self-serve reporting tools in platforms like BigQuery, Looker, and Tableau. Collaborate with product and engineering teams to ensure data collection aligns with partner inquiries. Requirements: Degree in Math, Statistics, Computer Science, Engineering, Economics, or equivalent experience. Strong analytical and problem-solving skills with a proven track record across multiple domains. Ability to communicate complex technical concepts to non-technical audiences. Experience in partner-facing roles, presenting findings and building trust. Proficient in SQL, Python, and data analysis tools like Pandas or R. Familiarity with LLM-based tools for coding and analysis. Experience in automating workflows and building repeatable data products. Knowledge of data mining, machine learning, and statistical modeling. Experience with business reporting tools such as Tableau or Looker. Travel industry experience is a plus. Benefits: Competitive salary with pre-IPO equity packages. 100% coverage of group insurance premiums. Life, short-term, and long-term disability coverage. Health Savings Account (HSA) for eligible expenses. Access to telemedicine services for employees and dependents. RRSP plan with automatic pre-tax withdrawals. Generous parental leave policy. Unlimited PTO and travel stipend. Flexible workspace options and work-from-home stipend. Entrepreneurial culture with open communication and small team dynamics.