Staff Data Scientist (Blockchain / Digital Assets) - Python fluency
Confirmed live in the last 24 hours
Keystone
Job Description
Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
We're growing quickly and looking for a Staff Data Scientist to join our K.ATS team. This role is ideal for someone who is excited to work at the intersection of technology, investigations, and strategy, with a particular focus on blockchain and digital asset investigations. You will help clients navigate high-stakes matters involving digital assets, financial crime, cyber-enabled misconduct, regulatory risk, and complex forensic questions in rapidly evolving technology environments.
About the Staff Data Scientist Role
Data Scientists at Keystone work on complex, data-driven engagements involving blockchain forensics, digital asset tracing, cybersecurity, investigative analytics, and technology-related disputes and compliance matters. We support case teams in developing rigorous analyses, conducting research, interpreting technical evidence, and translating findings into clear, defensible client-ready work product.
This role is based in Boston, New York, or Washington, D.C. and offers the opportunity to work with multidisciplinary teams of consultants, data scientists, engineers, and senior experts on matters at the forefront of digital risk and innovation.
Key Responsibilities
Investigations and Analytical Execution
• Support client engagements involving blockchain and digital asset investigations, cyber-enabled fraud, sanctions and compliance inquiries, and other complex technical investigative matters.
• Conduct blockchain tracing and transactional analysis using Python and SQL across public ledgers and related data sources to identify fund flows, wallet activity, and patterns relevant to investigative questions.
• Perform structured research and analysis related to digital assets, exchanges, custody platforms, on-cha
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