Ripple

3 weeks ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead analytics at scale across Ripple’s product and business portfolio, defining the analytics vision and reusable scientific frameworks to evaluate performance. Partner with product and business leaders to set the analytical bar, shape strategy, and drive evidence-based evaluation of growth across customers and on-chain activity. Pioneer AI-accelerated analytics using LLMs and agentic workflows to automate analysis, enable self-serve exploration, and communicate metrics clearly to executives.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Serve as the DS technical lead across multiple product and business teams, setting methodological standards and unblocking hard analytical problems.
•Partner with product and business leads to define analytics strategy and measure success across initiatives.
•Build scientific frameworks reusable at scale, including product/network health metrics, causal inference playbooks, liquidity/adoption models, and forecasting.
•Apply AI-accelerated analytics using LLMs and agentic workflows to scale insight generation and automate routine analysis.
•Drive evidence-based evaluation of growth and communicate metrics results clearly for executives and external stakeholders.

Pay and Benefits

Perks:Learning BudgetHealth InsuranceRetirementParental LeaveMobile Phone

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.
•Proven experience designing reusable analytics and measurement frameworks that scale across products.
•Hands-on experience applying AI to accelerate analytics workflows, including agentic analysis and AI-assisted insight generation.
•Expertise in experimentation, causal inference, forecasting, and statistical modeling, with fluency in Python or R and SQL. (Databricks/Airflow experience preferred).

Experience:8+ yearsFintechPaymentsCryptoBlockchain

Education:Master's

Skills:Technical leadershipCommunicationMentorshipCross-functional collaborationThought leadership

Languages:English

Tech Stack:PythonRSQLLLMsAgentic workflowsNatural-language interfacesDatabricksAirflowDbtXRPL

Company Brief

Ripple

Website

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Ripple

3 weeks ago

Staff Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Serve as the DS technical lead across multiple product and business teams, setting methodological standards and unblocking hard analytical problems.
•Partner with product and business leads to define analytics strategy and measure success across initiatives.
•Build scientific frameworks reusable at scale, including product/network health metrics, causal inference playbooks, liquidity/adoption models, and forecasting.
•Apply AI-accelerated analytics using LLMs and agentic workflows to scale insight generation and automate routine analysis.
•Drive evidence-based evaluation of growth and communicate metrics results clearly for executives and external stakeholders.

Pay and Benefits

Perks:Learning BudgetHealth InsuranceRetirementParental LeaveMobile Phone

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.
•Proven experience designing reusable analytics and measurement frameworks that scale across products.
•Hands-on experience applying AI to accelerate analytics workflows, including agentic analysis and AI-assisted insight generation.
•Expertise in experimentation, causal inference, forecasting, and statistical modeling, with fluency in Python or R and SQL. (Databricks/Airflow experience preferred).

Experience:8+ yearsFintechPaymentsCryptoBlockchain

Education:Master's

Skills:Technical leadershipCommunicationMentorshipCross-functional collaborationThought leadership

Languages:English

Tech Stack:PythonRSQLLLMsAgentic workflowsNatural-language interfacesDatabricksAirflowDbtXRPL

Company Brief

Ripple

Website