Captions is looking for a data scientist to help them understand user behavior, optimize product changes through A/B testing, and provide data-driven recommendations to improve user experience and product performance.
Requirements
- Strong proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling.
- Expertise in statistical analysis, hypothesis testing, and experimental design for AB testing and product experimentation.
- In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling.
- Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations.
- Experience with full funnel analytics, including data collection, cleansing, transformation, and analysis.
- Familiarity with data warehousing concepts and experience working with large datasets and distributed computing frameworks.
Responsibilities
- Perform data analysis and exploration to uncover insights and trends related to product and user behavior.
- Design rigorous AB tests and evaluate the impact of product changes.
- Develop and maintain analytical models to support full funnel analytics.
- Use statistical techniques to identify patterns and opportunities in large datasets.
- Create data visualizations and dashboards to effectively communicate findings and insights to stakeholders.
- Work closely with designers and engineers to drive data-informed decision-making throughout the product development process.
- Provide recommendations for improving user experience, conversion rates, and overall product performance based on data analysis.
Other
- 5+ years of proven experience as a data scientist or similar role, with a focus on analytics, AB testing, and product experimentation.
- Collaborate with cross-functional teams to define key metrics and establish data-driven goals for product experimentation.
- Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business.
- Be a mentor to other team members and a data-driven thought leader to cross functional colleagues.
- All of our roles will require you to be in-person at our NYC HQ (located in Union Square)
