Scientist Jobs in Web3

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Job Position Company Posted Location Salary Tags

Ripple

San Francisco, CA, United States

$45k - $75k

Crypto.com

United States

$45k - $75k

CoinFlip

Chicago, IL, United States

$45k - $75k

CoinFlip

Chicago, IL, United States

$63k - $79k

Aptos

Palo Alto, CA, United States

$39k - $75k

Ripple

Toronto, Canada

$58k - $80k

Tangible

Los Angeles, CA, United States

$100k - $120k

Chainalysis

New York, NY, United States

$91k - $96k

CANDY

New York, NY, United States

$45k - $75k

NAHC Limited

Hong Kong, Hong Kong

$45k - $75k

Defy Trends

Miami, FL, United States

$50k - $85k

Mirana

Singapore, Singapore

$58k - $100k

Genies

Los Angeles, CA, United States

$45k - $67k

Chainlink Labs

Remote

Worldcoin

Berlin, Germany

$45k - $75k

Data Scientist Insights Payments Intelligence

Ripple
$45k - $75k estimated

This job is closed

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 >
  • Team outings to sports games, happy hours, game nights and more!