обновлено 11 часов назад
Staff Data Scientist (Crypto)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (Python/R, SQL, Crypto): Building reusable scientific frameworks for product and network health metrics, causal inference, liquidity and adoption models, and forecasting across Ripple's financial and developer products with an accent on experimentation, statistical modeling, and AI-accelerated analytics. Focus on applying LLMs and agentic workflows, evaluating causal drivers of growth and on-chain activity, and setting technical standards across multiple product and business teams.
Location: Hybrid, with managers and teams deciding which 10+ days per month employees come into the office.
Company
builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.
What you will do
- Serve as the data science technical lead across multiple product and business teams, including Treasury, Markets, Custody, and XRPL.
- Partner with product and business leads to define analytics strategy, investment priorities, and success measures.
- Build reusable frameworks for product and network health metrics, causal inference, liquidity and adoption models, and forecasting.
- Apply LLMs and agentic workflows to accelerate insight generation, automate routine analysis, and enable self-service exploration.
- Evaluate growth across customers, corridors, and on-chain activity, identifying causal drivers of adoption and volume.
- Set analytical standards, communicate executive-ready narratives, and mentor data scientists across embedded teams.
Requirements
- 8+ years of experience in data science or quantitative analysis with senior-level impact across multiple teams.
- Technical leadership experience across cross-functional teams, including influence on roadmaps and strategy.
- Experience designing reusable analytics and measurement frameworks that scale across products.
- Hands-on experience applying AI to analytics workflows, including agentic analysis, AI-assisted insight generation, or natural-language data interfaces.
- Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.
- Expertise in Python or R, fluency in SQL, and experience with large-scale data technologies.
Nice to have
- Experience with Databricks, Airflow, or dbt.
- Experience in fintech, payments, crypto, or blockchain data.
- Advanced degree such as an MS or PhD in a quantitative field.
Culture & Benefits
- Fast-paced startup environment with experienced industry leaders.
- Professional development budget and access to learning opportunities.
- Flexible in-office collaboration, with team offsites, bonding activities, and company meetings.
- Competitive salary, bonuses, equity, healthcare, retirement, and family support benefits.
- Vacation, R&R days, wellness reimbursement, parental leave, family planning benefits, and catered lunches.
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