Ripple
Senior Data Scientist
San Francisco, CA, United States · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,512 more — $174,512 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $174,512 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- It's big, it's bold, and we're already doing it.
- And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
Responsibilities
- Serve as the data science lead for one or more product or business areas - Payments, Stablecoin, or Custody - applying strong methodology and tackling the hardest analytical problems in your domain.
- Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how we'll measure it.
- Apply AI to accelerate analytics - using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-DS partners.
- Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed calls.
- Track record designing analytics and measurement frameworks that other teams adopt and build on.
- The opportunity to build in a fast-paced start-up environment with experienced industry leaders
- We're committed to building a diverse and inclusive team.
Requirements
- Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks).
Nice to have
- Experience with FinTech, payments, crypto, or blockchain data is a strong plus.
- Advanced degree (MS, PhD) in a quantitative field preferred.
Compensation
- For positions that will be based in CA, the annual salary range for this position is below.
- CA Annual Base Salary Range
- $172,000 - $215,000 USD
- Competitive salary, bonuses, and equity
Benefits
- Build the scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces.
- This range does not include equity or additional compensation, such as bonuses or commissions.
- A learning environment where you can dive deep into the latest technologies and make an impact.
- A professional development budget to support other modes of learning.
Company info
- Do Your Best Work
- A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
- Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
- In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
- Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
- We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!
- Take Control of Your Finances
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
- Take Care of Yourself
- R&R days so you can rest and recharge
Equal opportunity
- Equal Opportunity Employer.
Visa & Work Authorization
- plicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, militar
This listing is sourced directly from Ripple's careers page and normalized into a canonical job model.