Data Scientist, Coinbase

• 5+ years of relevant experience
• Self starter, has the ability to multitask, and highly collaborative in working with cross functional teams
• Strong experience with data processing (ETL), fluency in complex SQL and basic programming language high proficiency with scripting language(preferably Python)
• Experience building data pipelines
• Experience using Apache Airflow or similar orchestration systems
• Strong understanding of key finance principles, products within Accounting and Treasury domain, and eagerness to learn
• Be able to independently create documentation for new data projects and requests, and build collaboration within the team
• Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution
• Bachelor’s Degree in Financial Engineering, Computer Science or equivalent practical experience

Desirable

• Data is a critical component of Coinbase's strategy to optimize financial operations and enhance decision-making
• In this role, you will collaborate closely with Finance, Product, and Engineering teams to support cash flow processes, including payments, cash reconciliations against bank statements, and safeguarding of assets
• You will gather financial data from diverse sources, including platform data, external financial institutions, market data, and internal financial systems
• By transforming raw data into meaningful insights, you will develop advanced data models and pipelines that drive analytics for understanding cash flows
• Work with Product and Engineering to drive new initiatives, supporting new product launches fueling business growth
• Collaborate with stakeholders across Accounting, Treasury and other Finance functions, to extract financial data and insights, and provide data driven recommendations to enhance efficiencies for financial processes
• Act as a strategic partner to functional teams; design and scope project plans; execute, test and implement data and reporting solutions
• Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship
• Work with the broader Data and Engineering teams to find ways to scale our platform through better systems and automation
• Develop interactive dashboards and visualizations to present financial insights to stakeholders
• Partner with peers and stakeholders to define and execute roadmaps that can help the function scale