Staff Data Scientist

You will lead multiple production data-science projects, turning broad problems into measurable outcomes. You will develop and validate analytical methods, statistical models, behavioural heuristics, and algorithms for large-scale blockchain data. You will make architectural decisions, improve workflows and code quality, communicate methodology and results, mentor colleagues, and help move research prototypes into dependable production systems.

Responsibilities

• Own and prioritise multiple concurrent production data-science projects or systems
• Design, develop, and validate analytical methods, statistical models, behavioural heuristics, and algorithms for blockchain data
• Evaluate graph computation, statistical modelling, and machine-learning techniques on large-scale on-chain datasets
• Identify and resolve inefficiencies in code, methodology, and workflows
• Make architectural decisions and define and track quality metrics
• Drive cross-functional alignment around methodology, results, and evolving requirements
• Mentor team members, support onboarding, contribute to technical hiring, and share knowledge
• Collaborate to move research prototypes into dependable production systems and build tools or platforms

Requirements

• Deep expertise in a quantitative discipline, demonstrated through advanced industry or research work
• Expert-level proficiency in Python and SQL
• Experience applying advanced analytical techniques to large, messy datasets
• Ability to learn unfamiliar technical domains and data models quickly
• Ability to own multiple concurrent projects or systems and drive cross-functional stakeholders toward delivery
• Strong written and verbal communication skills
• Ability to explain complex methodology, mentor technical practitioners, and share knowledge