Remote Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

FalconX

Remote

$106k - $165k

Zora Labs

Remote

$95k - $111k

Glassnode

Europe

$105k - $180k

Kraken Digital Asset Exchange

Dublin, Ireland

$91k - $150k

Tokemak

Remote

$200k - $300k

Coinbase

Remote

$73k - $100k

Snowfork huB

Remote

$105k - $180k

Strike

Remote

$165k - $180k

Paxos

Remote

$122k - $150k

Snowfork huB

Remote

$105k - $108k

Yuga Labs

Remote

$190k - $220k

OP Labs PBC

Remote

$75k - $84k

Yuga Labs

Remote

$160k - $200k

Coinbase

Seattle, WA, United States

$127k - $149k

Phantom

Remote

$150k - $250k

Senior Data Scientist

FalconX
$106k - $165k estimated

This job is closed

FalconX Data Science team with the mission being data driven and offering analytical solutions to guide the business and products through the upcoming Crypto world is growing. As a data scientist, you will be responsible for building algorithms to optimize FalconX’s financials while delivering the ultimate experience to customers in various domains: trading system design, dynamic pricing, customer profiling, etc. You will work closely with our engineering team and institutional product team to build end to end solutions with various techniques: On-chain data insights, Statistical Analytics, Experimental Design and Analysis, Machine Learning Models, and Artificial Intelligence.

What you’ll be working on:

  • Learn and understand crypto data well with your business partners, then formulate their ambiguous questions into quantitative problems
  • Collaborate with the engineering team to own the end to end solutions: develop and maintain data pipelines, test and deploy both the Statistical and ML models, define and monitor the impacts of your work
  • As a data stakeholder, partner with different functional teams, strategically initiate and execute on data projects to define the roadmap and provide actionable recommendations.
  • Able to support the full development cycle for one single product in depth as well as to share data insights across different multiple products
  • Establish and demonstrate the best practices in data science: data schema and pipeline design, model tuning efficiency and dashboarding scalability
  • Design and develop experimental frameworks to scientifically evaluate the company’s progress, thus to influence product stakeholders and leadership's decision making


Skills you'll need:

  • BE/Btech/Masters degree with 5-10 years of data modelling and Data Science experience or Phd degree in a quantitative field (Physics/Math/Statistics/Operations Research/Financial Engineering, etc.)
  • Decent knowledge regarding data structures, computer science algorithms and engineering system design
  • Deep understanding and hands-on experience in Statistics, Machine Learning and Experiment Design and Analysis
  • Passionate about building an open financial system that expand our product to next level
  • Proficient in at least one of the following Object-oriented programming languages -- Python / Scala / Golang / Java / C++ etc
  • Strong communication skills and collaborative mindset with detail-oriented approach to operations