Lead Data Scientist, Protocol Research

Figment is the world’s leading provider of blockchain infrastructure. We provide the most comprehensive staking solution for our over 200+ institutional clients including exchanges, wallets, foundations, custodians, and large token holders to earn rewards on their crypto assets. These clients rely on Figment’s institutional staking service including rewards optimization, rapid API development, rewards reporting, partner integrations, governance, and slashing protection. Figment is backed by industry experts, financial institutions and our global team across twenty three countries. This all leads to our mission to support the adoption, growth and long term success of the Web3 ecosystem.

We are a growth stage technology company – looking for people who are builders and doers. People who are comfortable plotting their course through ambiguity and uncertainty to drive impact and who are excited to work in new ways and empower a generative company culture.

About this Role

We are seeking a Lead Data Scientist with experience in proof of stake protocols to help grow the figment data team.

We're looking for someone who has strong technical data science skills and the ability to interact with multiple business units. The candidate should be able to identify issues, use data to propose solutions, and clearly convey how to leverage data driven results for effective decision making.

If you enjoy developing data driven solutions and providing real business impact, then this role may be a good fit for you. Ideal candidates are comfortable working in an unstructured environment, dealing with uncertainty, minimal direction, and working across a range of projects.

Responsibilities

• Scoping, planning, and delivering data driven solutions for the Figment Sales and DevOps teams
• Using analytics, statistics and machine learning tools to produce solutions
• Be the team interface with Sales and DevOps for supporting ad hoc EDA and various reports
• Data extraction (python scripts, json files, etc) to building pipelines from various external sources such as; blockchain block explores, APIs and RPCs nodes
• Establish new systems and processes and look for opportunities to improve the flow of data
• Evaluate new and emerging technologies
• Stay up to date with the latest technology, techniques and methods

Qualifications

• Significant experience with Data Science and Data Solutions
• Familiarity with a modern data stack (databases and pipelining, Vis tools, ML platforms )
• Results oriented individual with a high EQ and attention to …