1 день назад
Senior Data Scientist (AI)
172 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (AI) (Payments, Stablecoin, and Custody): Building scientific frameworks for product and business performance across Ripple’s crypto portfolio with an accent on causal inference, forecasting, experimentation, and AI-assisted analytics. Focus on evaluating growth across customers, payment corridors, and on-chain activity, building reusable analytical tooling, and communicating metrics and causal drivers to senior stakeholders.
Location: Hybrid; in-office collaboration is expected 10+ days per month. Positions based in California have the stated salary range.
Salary: $172,000–$215,000 annual base salary for California-based positions, excluding equity, bonuses, and commissions.
Company
develops crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.
What you will do
- Lead data science for product or business areas including Payments, Stablecoin, and Custody.
- Partner with product and business leaders on roadmap prioritization, success criteria, and measurement.
- Build product and network health metrics, causal inference frameworks, forecasting models, and reusable analytical tooling.
- Apply LLMs and agentic workflows to accelerate insight generation, automate routine analysis, and make data more self-serve.
- Evaluate growth across customers, payment corridors, and on-chain activity, identifying causal drivers of adoption and volume.
- Define and communicate metrics while mentoring data scientists and translating complex analyses for senior stakeholders.
Requirements
- 7+ years of experience in data science or quantitative analysis with measurable impact on product and business decisions.
- Experience partnering with cross-functional product and business teams and influencing roadmaps.
- Hands-on experience with AI-assisted analytics, agentic analysis, or natural-language data interfaces.
- Strong expertise in experimentation, causal inference, forecasting, and statistical modeling.
- Expertise in Python or R, fluency in SQL, and experience with large-scale data technologies such as Databricks.
- Excellent communication skills and the ability to translate technical analysis into clear narratives for senior stakeholders.
Nice to have
- Experience with 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 learning opportunities.
- Flexible team and manager decisions around in-office collaboration, with 10+ days per month expected.
- Competitive benefits covering healthcare, retirement, family support, parental leave, and vacation.
- Wellness reimbursement, R&R days, catered lunches, stocked kitchens, and team events.
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