Senior Data Scientist — AI-Driven Analytics & Growth

Hidden Road

United States

Hybrid

USD 172,000 - 215,000

Full time

5 days ago
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Benefits offered by this job

Equity
Health care benefits
Flexible work schedule
Professional development budget

Job summary

Ripple is seeking a Senior Data Scientist to drive analytics across its product and business portfolio. You will build frameworks to evaluate performance and use AI tooling to accelerate insights for stakeholders.

You'll partner with product leads to frame questions, shape roadmaps, and define success metrics; lead analyses and tooling for scalable, self-serve insights while mentoring peers and raising the team's analytical bar.

Qualifications

  • 7+ years in data science or quantitative analysis with measurable impact.
  • Data science partner to cross-functional teams shaping roadmaps.
  • Analytics and measurement frameworks adopted by teams.
  • Hands-on AI acceleration of analytics and insights.
  • Expertise in experimentation, causal inference, forecasting, statistics.

Responsibilities

  • Serve as data science lead for product or business areas (Payments, Stablecoin, or Custody).
  • Shape roadmap decisions with product and business leads and define success.
  • Build product and network health metrics and forecasting models.
  • Apply AI to accelerate analytics and self-serve insights for partners.
  • Evaluate growth across customers, corridors, and on-chain activity.
  • Define metrics and communicate results to senior stakeholders.
  • Mentor colleagues and raise analytical standards across the team.

Skills

Data science experience
Cross-functional partner
Analytics frameworks
AI-assisted analytics
Experimentation & causal inference
Forecasting & statistical modeling
Python or R, SQL
Databricks experience
FinTech/crypto/blockchain data
Advanced degree preferred
Excellent communication

Education

MS or PhD in quantitative field

Tools

Databricks

Job description

Ripple is seeking a Senior Data Scientist to drive analytics across its product and business portfolio. You will build frameworks to evaluate performance and use AI tooling to accelerate insights for stakeholders.

You'll partner with product leads to frame questions, shape roadmaps, and define success metrics; lead analyses and tooling for scalable, self-serve insights while mentoring peers and raising the team's analytical bar.

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