Data Scientist, Insights (Payments Intelligence)
San Francisco, CA, United States
Ripple
Ripple is the leading provider of crypto solutions for businesses. Learn how we’re helping organizations of all sizes drive impact with the power of crypto.Ripple is building the world’s next-generation payment network backed by our advanced blockchain technology. RippleNet, Ripple’s core product, makes it easier than it’s ever been for our customers to run a high-performance payments business.
In order to drive innovation faster and be more customer-centric, the RippleNet payment data science team is looking for a passionate data scientist who is able to leverage our rich payment data to further drive our growth. The person will develop (and own) the key pipelines that provide product insights for RippleNet Payment and help scale it with new solutions!
What you’ll do:
- Develop and own the payment intelligence data pipelines
- Partnering with product and engineering to define key metrics and help quarterly goal setting
- Build interactive dashboards using different visualization tools
- Build models for customer segmentation, cost estimation, and/or funnel optimization
- Influence business decisions by writing and/or presenting data insights to the leadership
Requirements:
- Degree in statistics, economics, computer science, or other quantitative fields
- 1-2 years of industry experience with SQL and Python (3+ years preferred)
- Hands-on experience with dashboard generation and data visualization tools, such as tableau, google studio, etc.
- Experience with machine learning methods like statistical modeling, decision tree, and/or causal inference
- Strong communication skills including written and verbal
- Attention to detail and a commitment to excellence
- Ability to work in a fast-paced, ever-changing, start-up environment
- Industry experience in product data science, especially related to fintech, is preferred but not required
WHAT WE OFFER:
- The chance to work in a fast-paced start-up environment with experienced industry leaders
- A learning environment where you can dive deep into the latest technologies and make an impact
- Competitive salary and equity
- 100% paid medical and dental and 95% paid vision insurance for employees starting on your first day
- 401k (with match), commuter benefits
- Industry-leading parental leave policies
- Generous wellness reimbursement and weekly onsite programs
- Flexible vacation policy - work with your manager to take time off when you need it
- Employee giving match
- Modern office in San Francisco’s Financial District
- Fully-stocked kitchen with organic snacks, beverages, and coffee drinks
- Weekly company meeting - ask me anything style discussion with our Leadership Team
- Team outings to sports games, happy hours, game nights and more!
WHO WE ARE:
Ripple is doing for value what the internet did for information: enabling its instant and seamless flow around the world. We call this the Internet of Value (IoV). Using blockchain and cryptocurrency technology, Ripple is dedicated to creating powerful gains in financial efficiency, equity and inclusion. In addition, Ripple is developing and enabling the future use cases that will catalyze the new digital economy for governments, businesses and consumers.
Ripple has offices in San Francisco (HQ), New York, London, Mumbai, Singapore, São Paulo, Reykjavík, Washington D.C. and Dubai.
Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Blockchain Causal inference Computer Science Data pipelines Data visualization Economics Engineering FinTech Machine Learning Pipelines Python SQL Statistical modeling Statistics Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex hours Flex vacation Health care Insurance Medical leave Parental leave Snacks / Drinks Startup environment Team events Wellness
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