Ripple is hiring a

Web3 Senior Data Scientist, Product Insights (RippleX)

RippleX | Hyper-Accelerating the Internet of Value.

We champion the builders of tomorrow by providing the infrastructure, tools, services, programs and support for creation on one of the world’s fastest, most sustainable and consistently reliable public blockchain - XRPL. By supporting an open community of developers, they can advance the solutions and innovation needed to allow businesses, consumers, institutions and governments to fuel the engine of a new digital economy.

RippleX operates on the belief that realizing the Internet of Value hinges on how easily new technology works for more people, and how effectively we can change the way the world operates today.

RippleX is helping more people participate in the digital economy through:

• Practical support and capabilities to develop applications that move digital value faster and more easily
• Empowering a community that’s democratizing the digital economy
• The expertise of a technology company that is known for vision and pragmatism
• Blockchain infrastructure that is supported by RippleX and owned by everyone

We have a big vision and the ambition to match. We are seeking the same in engineers. You also see the huge potential of this technology and have the entrepreneurial spirit and technical excellence to realize the vision we have.There is a lot of work to get there but we are committed to building out the best team to achieve this.

THE ROLE:

As a Senior Data Scientist within the Product Insights team, you will leverage data and statistical methods to help RippleX solve impactful product, marketing, and growth problems such as funnel analysis, attribution modeling, causal inference, user incentives, and more.

This role will partner closely with Product, Marketing, Design, Engineering and other teams to drive cross-functional data science projects from beginning to end. Our team gives you full ownership over the projects you tackle, so you should be a person who is bold and dreams big, then executes well.

This role is based in San Francisco.

WHAT YOU’LL DO:

• Use quantitative analysis to understand user intent, behavior, and product trends, and present methodology and key insights to stakeholders and senior leaders.
• Build and maintain full-cycle experiments, reports, and dashboards using Python/R, SQL, and other scripting and statistical tools.
• Produce designs for growth strategies such as user incentives and drive cross-functional teams on alignment and execution.
• Report against our goals, design essential business and product metrics, and build executive-facing dashboards.
• Develop and implement modeling and testing frameworks to ensure that we operate with the highest level of scientific rigor.

WHAT WE ARE LOOKING FOR:

• A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
• 5-8 years in an Analytics/Data Science type role. Experience working with funnels, cohort analyses, time series analyses, regression models a plus.
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Python or R.
• Hands-on experience building dashboards with a data visualization tool such as Tableau, Looker, Data Studio, etc.
• Ability to take ambiguous problems and solve them in a structured, hypothesis-driven, scientific way.
• Passion to initiate and lead projects to completion in a fast paced, ever changing, start-up environment.

Apply Now: