To expand our capabilities, we are looking to hire an experienced Data Scientist who can work across our team’s most important and complex projects.

Responsibilities

Business Health Insights

• Monitor and analyze key business metrics, identifying trends and patterns that impact the company's overall health.
• Develop predictive models to forecast business performance, providing actionable insights for strategic decision-making.
• Create reports and dashboards to visualize business health metrics for executive review and team communication.

Quantitative Insights and Market Data

• Gather, clean, and analyze market data to provide insights into market trends, competitive landscape, and customer preferences.
• Conduct customer segmentation and behavior analysis to guide marketing and product strategies.

Product Analytics

• Work closely with product teams to define key performance indicators (KPIs) for product success.
• Analyze user behavior and product usage data to uncover insights that drive product improvements and enhancements.

Data Infrastructure & Visualization

• Collaborate with the engineering team to implement robust data tracking mechanisms to capture relevant user interactions and events.
• Create well-organized and structured data tables that facilitate efficient querying and reporting.
• Develop clear and concise data visualizations using tools like Tableau, Power BI, or custom visualization libraries.

Communication

• Communicate findings, recommendations, and insights to diverse teams, fostering a culture of data-driven decision-making.
• Regularly share updates on data analysis progress and results to ensure alignment and transparency across the organization.

Requirements

• 5+ years of experience as a Data Scientist, Data Analyst, Product Analyst, or similar role on consumer-facing applications.
• Proficient in data analysis and visualization tools (e.g., SQL, Python, R, Tableau, Amplitude, Power BI).
• Ability to distill complex business data into actionable insights for decision-makers.
• Strong problem-solving skills and creativity in finding data-driven solutions.
• Solid foundation in data engineering principles, including database design and ETL processes.
• Familiarity with data tracking tools and techniques for capturing user interactions.
• Excellent communication and presentation skills.
• An interest in NTFs, crypto data, and a willingness to learn more about the crypto ecosystem.
• Authorization to work in the U.S.

Nice to Have

• Data science experience in the web3 space and experience with Dune.
• Familiarity with machine learning and AI concepts.

Salary Range

• $175,000 - $220,000 (based on experience/qualifications)