Hopper is hiring a
Data Scientist

Summary

Hopper is seeking a highly skilled and experienced Data Scientist to join their CS Analytics team. The candidate should have a strong background in SQL, Python, GCP, Airflow, Tableau, Amplitude, and Data Science, focusing on Natural Language Processing (NLP). The role involves handling complex data challenges, building and maintaining data pipelines, and providing actionable insights to drive business decisions.

Requirements

• 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
• 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

Responsibilities

• Frame and perform complex exploratory analyses to enhance 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
• 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

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

Benefits

• 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