Data Scientist
6 days ago
🏡 Remote – New York
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 and the upsides of pre-IPO equity packages. • Unlimited PTO. • Carrot Cash travel stipend. • Access to co-working space on demand through FlexDesk AND Work-from-home stipend. • Please ask us about our very generous parental leave, much above industry standards!. • 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 Medical, Dental and Vision coverage for employees. • Access to Disability & Life insurance. • Health Reimbursement Account (HRA). • DCA/ FSA and access to 401k plan.
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