Data Science Web3 Jobs in North America

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Job Position Company Posted Location Salary Tags

Ripple

San Francisco, CA, United States

$91k - $96k

InfiniteWorld

Seattle, WA, United States

$80k - $105k

Careers at Paxful

New York, NY, United States

$105k - $111k

BitGo

Palo Alto, CA, United States

$28k - $75k

BitGo

Austin, TX, United States

$28k - $75k

The TIE

New York, NY, United States

$13k - $60k

Figure

San Francisco, CA, United States

$105k - $111k

Chainlabs

San Francisco, CA, United States

$0k

Okcoin

San Francisco, CA, United States

$45k - $75k

Okcoin

San Francisco, CA, United States

$45k - $75k

RECUR

Boston, MA, United States

$91k - $96k

Blocknative

United States

$54k - $77k

CoinFlip

Chicago, IL, United States

$91k - $96k

Newton

Toronto, Canada

$91k - $156k

Newton

Austin, TX, United States

$91k - $156k

Senior Data Scientist Insights Payments Intelligence

Ripple
$91k - $96k 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 cost estimation and optimization
  • Influence business decisions by writing and/or presenting data insights to the leadership

WHAT WE'RE LOOKING FOR:

  • Degree in statistics, economics, computer science, or other quantitative fields
  • 5+ years of industry experience with SQL and Python
  • Hands-on experience with dashboard generation and data visualization tools, such as Tableau, Google Studio, etc.
  • Experience with machine learning methods like statistical modeling, time series analysis, and/or causal inference
  • Strong written and verbal communication skills including
  • 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:

  • Opportunity to work in a growing startup 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; this position could also be based in our New York City or Toronto office for the right candidate
  • 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!
  • This position could also