Data Scientist, Hopper CS Analytics

What would your day-to-day look like

• Frame and perform complex exploratory analyses to enhance our understanding of Hopper users, focusing on key drivers of conversion, retention, and overall user engagement.
• Manage the entire data science lifecycle from data extraction, transformation, and analysis to model development and deployment, collaborating closely with product, engineering, and operations teams to deliver customer-centric products.
• Apply advanced data science principles, particularly in NLP, to support ongoing projects, providing insights from unstructured data sources.
• Develop and maintain sophisticated dashboards for tracking product experiments, monitoring business unit performance, and analyzing key metrics using tools like Amplitude, Tableau, and BigQuery.
• Translate complex analytical findings into clear, actionable insights that non-technical stakeholders can easily understand, ensuring alignment across teams and facilitating data-driven decision-making.

An ideal candidate has

• Extensive experience with SQL for relational database management and complex querying.
• Proficiency in Python for large-scale data preparation, analysis, and model development.
• Strong experience with data mining, machine learning, and statistical modeling tools, including underlying algorithms.
• Proven ability to build and manage data pipelines using Airflow on Google Cloud Platform, ensuring data quality, consistency, and accessibility.
• Proficiency in business reporting tools such as Tableau and Amplitude for data visualization and event-based analytics.
• Extremely strong analytical and problem-solving abilities, focusing on breaking down complex business problems to identify key data drivers.
• Extensive experience conducting empirical research and answering challenging questions with data-driven approaches.
• Proven ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders.
• Strong ability to communicate models and insights effectively to technical and non-technical audiences.
• Comfortable collaborating with engineering teams to identify, implement, and own data science solutions in production environments.
• Ability to create ETL pipelines and/or support engineering teams in their creation and maintenance.

Preferred Qualifications

• Experience in the travel or hospitality industry is a plus.
• Familiarity with Unix/Linux environments.
• Experience with revenue management models and practices in the travel industry.

Perks and benefits of working with us:

• Well-funded and proven startup with large ambitions, competitive salary
• Hopper will offer and cover 100% of employee premiums for private Major & Minor Medical insurances. 
• Hopper supplements Social Security coverage for liability benefits with Private insurance to cover you and your loved ones from Day 1.
• Hopper provides employees with a tax-advantageous and secured savings vehicle and matches up to a percentage of employee contributions.
• Please ask us about our very generous parental leave, much above industry standards!.
• Unlimited PTO.
• Flexdesk Access Pass AND Work-from-home stipend.
• Carrot Cash travel stipend.
• Hopper offers a monthly subsidy to pay for teleworking utilities.
• An entrepreneurial culture where pushing limits and taking risks is everyday business.
• Open communication with management and company leadership.
• Small, dynamic teams = massive impact.