Staff Data Scientist (Web3)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff Data Scientist (Web3): Developing and owning critical analytics products to detect cryptocurrency fraud and financial crime with an accent on complex blockchain data analysis and AI-powered intelligence. Focus on building scalable data products, designing advanced statistical algorithms, and translating customer pain points into actionable insights.
Location: Remote (North America). Must have at least a 4-hour overlap with PST business hours.
Salary: $160,000 – $225,000 (US base salary)
Company
provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt cryptocurrency-related crime.
What you will do
- Lead the implementation of advanced analytics products to explore blockchain data, including DeFi services, stablecoins, and global regulations.
- Own the roadmap and prioritization of the AI and analytics product suite.
- Collaborate with GTM and Intelligence teams to translate customer challenges into actionable technical products.
- Develop complex statistical analysis, algorithms, and interactive visualizations for agencies such as the FBI, Secret Service, and Europol.
- Design algorithms to analyze complex cryptographic protocols and transactional data structures.
- Establish best practices and statistical rigor around data-driven decision-making.
Requirements
- Degree in a quantitative field (Computer Science, Statistics, Engineering, Economics, or Physics); advanced degree preferred.
- 8+ years of experience in an analytical role.
- Strong knowledge of relational databases (SQL) and proficiency in Python.
- Proven experience building scalable internal data and analytics products from design to deployment.
- Must be based in North America with at least a 4-hour overlap with PST business hours.
- Applied AI fluency is a baseline expectation for the role.
Culture & Benefits
- Distributed-first work environment with a high-velocity, high-ownership culture.
- Opportunity to work at the intersection of AI, national security, and fighting financial crime.
- Eligibility to participate in the company's equity plan.
- Inclusive, collaborative environment with strong emphasis on mentorship and continuous feedback.
- Fast-paced environment that rewards urgency and outcome-oriented thinking.
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