Hybrid Data Scientist chez Plume Network

🪶 Overall Responsibilities

• Design, develop, and optimize scalable ETL pipelines to manage data from various sources, including blockchain networks, third-party APIs, and internal systems.

• Implement robust data validation and monitoring processes to ensure data accuracy, reliability, and consistency.

• Collaborate with stakeholders to understand their data requirements, provide technical solutions, and integrate data science practices to support their research and analysis.

• Monitor and track public blockchain sources to ensure the collection and real-time analysis of critical data for our products and services.

• Clearly communicate complex technical concepts to non-technical stakeholders.

🪶 Qualifications

• A minimum of 5+ years in data science roles, ideally within decentralized finance, blockchain, quantitative finance, or related technology sectors.

• Extensive experience in data modeling and ETL processes

• Demonstrated ability to handle complex datasets, identify patterns, and extract meaningful insights. Strong problem-solving skills and a keen analytical mindset.

• A deep passion for blockchain technology and decentralized finance (DeFi). Proven experience working with blockchain-based projects.

• Comfortable in fast-paced, dynamic environments with the ability to manage changing priorities. Willingness to learn and adopt new technologies as needed.

• Proven ability to work independently and thrive in self-managed, fast-paced settings.