Data Science Jobs in Web3

On the Data team, we’re developing new infrastructure for decentralized data pipelines & applications. You’ll be working on a new architecture for achieving large scale consensus on JVM executors. You’ll design partitioning strategies and make use of approximate algebraic data structures for network organization optimizations. Our team is working on a new protocol for distributed big data processing with a focus on scaling consensus engines that demands high precision and proper distributed design. The applications we’re building infrastructure for implement complex logic drawn from traditional data pipelines run in a decentralized setting. Scalability must be balanced against security as these applications have real money at stake. As part of our team, you will be working closely with the protocol team to design APIs for application developers, solve complex partitioning design problems, and integrate external platforms. You will develop example applications and influence the design of the core protocol through extensions to basic applications. You’ll work closely with the protocol team in deploying and testing your applications and integrations on our scalable infrastructure. If the idea of developing the latest generation of distributed systems techniques from literature and pushing the boundaries of existing models forward excites you, keep reading.

This is a fully remote role with a preference for candidates working in North American timezones.