Sundayy
Data Scientist
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About The Company
Ripple is at the forefront of transforming the global financial landscape by building a world where value moves seamlessly and efficiently, akin to the way information flows today. Our innovative crypto solutions serve a diverse clientele, including financial institutions, businesses, governments, and developers, with the aim of enhancing the global financial system. Our mission is to foster greater economic fairness and opportunity for individuals worldwide, regardless of their geographic location. We are committed to creating impactful solutions that not only revolutionize the way value is transferred but also empower our teams to grow professionally. Joining Ripple means being part of a bold, dynamic environment where your contributions make a tangible difference, and your skills are nurtured in a collaborative setting.
About The Role
We are seeking a highly experienced Staff Data Scientist to serve as the technical lead across Ripple's diverse product and business portfolio. In this strategic role, you will define the analytics vision, develop scientific frameworks to evaluate product and business performance, and leverage AI tools to accelerate analytics processes throughout the organization. You will collaborate closely with product and business leaders to identify critical questions, set analytical standards, and ensure that decision-making is grounded in thorough, data-driven insights. Your expertise will drive the development of reusable frameworks such as product health metrics, causal inference models, liquidity and adoption forecasts, and network performance indicators. Additionally, you will pioneer AI-accelerated analytics, utilizing large language models and agentic workflows to scale insights, automate routine analyses, and empower non-technical partners with self-serve exploration tools. This role offers an exciting opportunity to influence Ripple’s strategic direction, elevate the data science function, and mentor teams across the organization.
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Qualifications
- 8+ years of experience in data science or quantitative analysis with demonstrated impact at senior levels
- Proven technical leadership across cross-functional teams, influencing strategic roadmaps and initiatives
- Extensive experience designing scalable, reusable analytics and measurement frameworks
- Hands-on expertise applying AI techniques to accelerate analytics workflows, including agentic analysis and natural-language data interfaces
- Deep knowledge of experimentation, causal inference, forecasting, and statistical modeling in a product environment
- Proficiency in Python or R, fluency in SQL, and familiarity with large-scale data technologies such as Databricks, Airflow, and dBT
- Experience with FinTech, payments, crypto, or blockchain data is highly advantageous
- Advanced degree (MS, PhD) in a quantitative field preferred
- Exceptional communication skills, capable of translating complex technical insights into executive-level narratives
Responsibilities
- Serve as the data science technical lead across multiple product and business teams, establishing methodological standards and resolving complex analytical challenges
- Partner with product and business stakeholders to define analytics strategies, prioritize initiatives, and establish success metrics
- Develop scientific frameworks for product and network health metrics, causal inference, liquidity modeling, adoption forecasting, and other reusable analytical tools
- Lead the adoption of AI-accelerated analytics, including the deployment of large language models and agentic workflows to enhance insight generation and automate routine tasks
- Conduct evidence-based evaluations of growth metrics, analyzing customer behavior, on-chain activity, and market dynamics to identify causal drivers
- Translate complex analytical results into clear, actionable narratives for Ripple leadership and external stakeholders
- Mentor and elevate the capabilities of data science teams, fostering thought leadership and best practices across the organization
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Benefits
- Competitive salary, bonuses, and equity packages
- Comprehensive benefits covering physical and mental healthcare, retirement plans, and family support
- Employee giving match and mobile phone stipend
- Generous paid time off, including R&R days and flexible vacation policies
- Industry-leading parental leave policies and family planning benefits
- Wellness programs, including reimbursement and virtual/onsite activities
- Catered lunches, fully-stocked kitchens, and regular team events to foster collaboration and culture
Equal Opportunity
Ripple is committed to creating an inclusive environment where all employees are valued and respected. We are an equal opportunity employer and welcome applicants regardless of race, ethnicity, gender, sexual orientation, age, disability, or background. We believe diversity drives innovation and are dedicated to fostering a workplace that reflects the communities we serve. All employment decisions are made based on qualifications, merit, and business needs.
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