Data Scientist

5 days ago

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Hopper

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Spend less. Travel better.

airfare and analytics

201 - 500

💰 $96M Venture Round on 2022-11

Description

• 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.

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, 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.

Benefits

• Well-funded and proven startup with large ambitions, competitive salary • Performance bonus (paid quarterly). • Unlimited PTO Flexdesk • All Access Pass AND Work-from-home stipend • Entrepreneurial culture where pushing limits and taking risks is everyday business. • Open communication with management and company leadership • Small, dynamic teams = massive impact • 100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans • Access to a Retirement Savings Plan (RRSP)