Associate Data Scientist building predictive models and AI applications for AlgaeCal’s clinically - backed natural bone - loss solution. Transforming data into strategies that improve efficiency, sales, and profitability.
About the role
- Senior Data Scientist helping Hopper’s B2B travel technology platform improve partner reporting and decisions. Building reusable analytics, dashboards, and AI-assisted workflows across travel products.
Responsibilities
- Own the analytical relationship with a portfolio of HTS partners alongside Partner Success and Commercial
- Understand partner needs, deliver analyses, and present findings directly to partner teams
- Design and templatize 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 repetitive analysis and reporting and help the broader team adopt these practices
- Run exploratory analyses on 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 appropriate
- Build dashboards and self-serve reporting in BigQuery, Looker, Tableau, Amplitude, and Google Sheets
- Collaborate with product and engineering so collected data supports future partner questions
Requirements
- A degree in Mathematics, 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 complex questions with data across multiple domains or product lines
- Proven ability to turn complex technical work into simple, credible narratives for non-technical and executive audiences, including external partners
- Comfortable working directly with partners, presenting findings, handling challenging questions live, and building trust with commercial counterparts
- 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
- Hands-on, daily use of LLM-based tools such as Claude, ChatGPT, Cursor, or Copilot for writing code, SQL, analyses, and documentation
- 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, and statistical modeling
- Experience with business reporting and experimentation tools such as Tableau, Looker, or Amplitude
- Travel industry, marketplace, B2B platform, or API distribution experience is a plus
- Experience with geographic data or external customers in consulting, solutions, or customer analytics is a plus
Benefits
- Competitive salary
- Pre-IPO equity packages
- Hopper covers 100% of the premiums for the group insurance plan
- Life, short-term, and long-term disability coverage
- HSA covering eligible medical and dental expenses
- Dialogue telemedicine services for employees and dependents, anytime and anywhere
- RRSP plan with automatic pre-tax payroll deductions each pay period
- Very generous parental leave, well above industry standards
- Unlimited PTO
- Carrot Cash travel stipend
- On-demand access to coworking spaces through FlexDesk
- Work-from-home stipend
- Entrepreneurial culture where pushing limits and taking risks are part of everyday business
- Open communication with management and company leadership
- Small, dynamic teams with a massive impact
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