Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

OP Labs

Remote

$103k - $117k

OKX

Singapore, Singapore

$54k - $62k

Bitso

Latin America

$72k - $103k

Impossible Cloud

Remote

$62k - $67k

Advanced Blockchain AG

Remote

$75k - $110k

Circle

Salt Lake City, UT, United States

$147k - $195k

Lemon.io

Canada

$48k - $110k

Blockchain.com

London, United Kingdom

$76k - $100k

Gramercy Park Capital

New York, NY, United States

Binance

Taipei, Taiwan

BitGo

Bengaluru, India

$98k - $103k

Ripple

San Francisco, CA, United States

$73k - $93k

Binance

Taipei, Taiwan

Circle

Salt Lake City, UT, United States

$147k - $195k

Binance

Taipei, Taiwan

Senior Data Engineer

OP Labs
$103k - $117k estimated
Remote
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What are the role responsibilities?

  • Collaborating with business teams to design systems architecture:
    • Design and implement robust, scalable, and optimized data architectures.
    • Lead the development and maintenance of scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity.

  • Pipeline ownership:
    • Develop integrations with third party systems to source, qualify and ingest various datasets.
    • Develop data set processes for data modeling and production.
    • Recommend and implement ways to improve data reliability, efficiency, and quality.
  • Data strategy and execution:
    • Work with stakeholders including the Marketing, Product, Analytics, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • BI and data tool enablement:
    • Enable data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions
  • Innovation and improvement:
    • Keep up-to-date with the latest industry trends in data engineering.
    • Explore new technologies and approaches for continuous improvement of data systems.
  • Collaboration and communication:
    • Work closely with analytics and business teams to define and refine data requirements for various data and analytics initiatives.
    • Ensure clear communication of project progress and results to stakeholders.
    • Collaborate with data engineers across the wider OP stack and ecosystem to enable open source and publicly available datasets.

What skills do you bring?

  • 4+ years of professional data engineering experience
  • Advanced working knowledge of SQL, Python, and experience with relational databases
  • Experience in building and optimizing 'big data' data pipelines, architectures, and data sets
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with workflow orchestration management such as Airflow, dbt etc.
  • Experience with Cloud Services such as Google Cloud Services, AWS, etc.
  • Strong analytic skills related to working with unstructured datasets, we are looking for an engineer who can understand the business and how to build to requirements
  • Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment
  • Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up
  • Experience with web3 and blockchain protocols is a plus

What does a data scientist in web3 do?

A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem

This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems

In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems

Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.