Web3 Data Scientist

What we're looking for

• Bring Data to the Table: As the first full-time Data Scientist, you will be critical in building the role data plays in driving our business strategy forward.
• Collaborative Mindset: Collaborate across all teams to craft data-driven growth strategies and understand the critical questions to be answered across the business.
• Decision Support: Discuss and advise on crucial strategic and operational decisions faced by the company.
• Data-Driven Discovery: Identify growth opportunities by analyzing and uncovering trends and patterns in challenging datasets, including publicly available blockchain data and limited, anonymized data and ecosystem activity.
• Visual Story and Insight: Develop and maintain insightful reports, dashboards, and visualizations that effectively communicate our growth story to internal and external stakeholders.
• Privacy-Preserving Methodology: Maintain and contribute to refining data collection methods for network and ecosystem data analysis, keeping our privacy principles and mission at the forefront.
• Culture of Collaboration: Share knowledge, best practices, and encourage cross-team collaboration to nurture a thriving data-driven culture.

• Bachelor's degree in Data Science, Statistics, Business Analytics, or related fields. Master's degree preferred.
• Proven experience as a Growth or Data Scientist with expertise in blockchain data analysis.
• Proficiency in Python, R, GraphQL, or SQL, including hands-on experience with Dune Analytics and Graph Protocol. Experience with other data tools such as Tableau, is a plus.
• Analytical Mindset: Skillfully interpret quantitative and qualitative insights from various angles, particularly in the context of blockchain data.
• Problem-Solving & Story-Telling Prowess: Navigate blockchain data complexity to unearth innovative growth strategies and tell stories internally to help inform decision-making.
• Effective Communicator: Convey complex findings and growth recommendations to both technical and non-technical stakeholders.
• Adaptive Learner: Embrace growth and ambiguity in a fast-paced, innovative setting with a proactive attitude toward resolving uncertainty. Self-directed and able to implement best practices and standards for the Data function.