Senior Staff Data Scientist

Ripple
San Francisco
Workplace: OnsiteFull timeUSD 1 - 2 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: mastersSkills: ["Technical leadership","Communication","Mentorship","Executive communication","Cross-functional collaboration"]

Serve as the DS technical lead across multiple product and business teams, defining analytics vision and building reusable scientific frameworks to evaluate performance. Partner with product and business leaders to set analytical strategy and success metrics, and drive evidence-based evaluation of growth across customers and on-chain activity. Accelerate analytics using AI-accelerated approaches (LLMs, agentic workflows), translate complex results into executive-ready narratives, and raise the bar through mentorship.

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FursaFursa
Ripple
Ripple
1 day ago

Senior Staff Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Serve as the DS technical lead across multiple product and business teams, defining analytics vision and building reusable scientific frameworks to evaluate performance. Partner with product and business leaders to set analytical strategy and success metrics, and drive evidence-based evaluation of growth across customers and on-chain activity. Accelerate analytics using AI-accelerated approaches (LLMs, agentic workflows), translate complex results into executive-ready narratives, and raise the bar through mentorship.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead DS technical strategy across multiple product and business teams, setting methodological standards and unblocking complex analytical problems.
  • •Partner with product and business leaders to define analytics strategy and what success looks like.
  • •Build reusable scientific frameworks at scale, including metrics, causal inference playbooks, liquidity/adoption models, and forecasting approaches.
  • •Apply AI-accelerated analytics using LLMs and agentic workflows to automate analysis and enable self-serve exploration for non-DS partners.
  • •Define and communicate metrics leadership runs on, translating complex results into clear narratives for executives and external stakeholders.

Pay and Benefits

Salary: USD 1 - 2 annually
Perks:Health InsurancePensionParental LeaveLearning BudgetWellness Stipend

Key Requirements

  • •8+ years in data science or quantitative analysis with senior-level impact across multiple teams.
  • •Demonstrated technical leadership across cross-functional teams, influencing roadmaps and strategy.
  • •Experience designing reusable analytics and measurement frameworks that scale across products.
  • •Hands-on AI experience to accelerate analytics workflows, including agentic analysis and AI-assisted insight generation.
  • •Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.
Experience:8+ yearsFintechPaymentsCryptoBlockchain
Education:Master's
Skills:Technical leadershipCommunicationMentorshipExecutive communicationCross-functional collaboration
Languages:English
Tech Stack:PythonRSQLDatabricksAirflowDbtLLMsAgentic workflowsNatural-language data interfaces

Company Brief

Ripple
Builds blockchain-based payment and liquidity infrastructure for financial institutions and enterprises. Its products support cross-border payments, crypto liquidity, and digital asset settlement.
Industry: Fintech Infrastructure
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: San Francisco, United States
Founded: 2012
WebsiteLinkedIn