Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Supra

Bengaluru, India

$105k - $120k

Mysten Labs

United States

$105k - $124k

Binance

Taipei, Taiwan

Auros

Remote

$98k - $109k

Crypto.com

Dallas, TX, United States

$27k - $67k

MoonPay

Madrid, Spain

$84k - $84k

MoonPay

Barcelona, Spain

$101k - $102k

MoonPay

Madrid, Spain

$98k - $103k

Paradigm62

Remote

$72k - $103k

Edgeandnode

Remote

$100k - $500k

Chillchat Games

Bangkok, Thailand

$63k - $90k

RWA.xyz

New York, NY, United States

$90k - $100k

Chainalysis

Toronto, Canada

$76k - $87k

Crypto.com

Hong Kong, Hong Kong

$27k - $67k

Bitso

Latin America

$122k - $201k

Supra
$105k - $120k estimated
KA Bengaluru, Karnataka, India

What We're Looking For:

We are in search of a Database Engineer who can incorporate blockchain data into simulation, and preferably -be independent enough in their skillset to be able to work with, develop, and enhance simulations based on description.

Our organization thrives on trust and honesty.

We believe in the positive and ethical impacts of cutting-edge technologies in a decentralized environment. We are looking for candidates who demonstrate a commitment to these values through their professional conduct and expertise.

Role:

Blockchain Data Management:Design, implement, and maintain robust database systems to store and manage blockchain data, including on-chain and off-chain data, with a focus on scalability, reliability, and security.

On-Chain Data Extraction: Build and optimise tools and pipelines for extracting on-chain data from blockchains like Ethereum, Binance Smart Chain, Solana, or others. Leverage APIs, smart contract interactions, and technologies such as Web3.js, The Graph, or equivalent frameworks.

Data Cleaning and Transformation
Process, clean, and transform blockchain data to ensure integrity and usability. Apply statistical methods to handle incomplete or missing data.

Database Maintenance and Updates
Regularly update and maintain databases to reflect real-time blockchain activity. Implement systems for versioning and ensuring data consistency.

Integration of Blockchain and Traditional Data
Seamlessly integrate blockchain data with traditional data sources for analytical and operational needs.

ETL Development for Blockchain Data
Design and manage Extract, Transform, Load (ETL) pipelines tailored for blockchain data sources, ensuring efficient and accurate data ingestion into centralised or decentralised databases.

Performance Tuning and Optimisation
Monitor and optimise the performance of blockchain data queries and storage, ensuring efficient access and minimal latency.

Cloud-Based Blockchain Solutions
Deploy and manage blockchain-related databases on cloud platforms such as AWS, Google Cloud, or Azure. Leverage cloud-based tools for scaling and securing blockchain data storage and processing.

Data Security and Compliance
Ensure the secure handling of sensitive blockchain data, manage access controls, and adhere to compliance standards for data privacy and security.

Requirements

Blockchain Experience

  • Deep understanding of blockchain ecosystems, including protocols like Ethereum, Solana, or Binance Smart Chain.
  • Hands-on experience extracting on-chain data using APIs, smart contracts, or tools like Web3.js, ethers.js, or The Graph.
  • Familiarity with transaction data, block structure, and DeFi protocols.

Educational Background

  • Degree in Computer Science, Information Technology, Mathematics, Engineering, or demonstrable equivalent self-learning.
  • Strong foundation in blockchain technology, including decentralised systems and cryptographic principles.

Database Management Systems

  • Expertise in SQL databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
  • Experience designing, indexing, and optimising blockchain-specific data models.

ETL Processes

  • Proven ability to design ETL pipelines specifically for blockchain data sources.
  • Experience using tools like Apache Airflow, custom Python scripts, or other ETL frameworks to manage blockchain data.

Data Cleaning and Maintenance

  • Strong skills in cleaning and updating blockchain data for analytical and operational use.
  • Ability to apply statistical techniques to fill gaps in incomplete or missing blockchain datasets.

Performance Optimisation

  • Expertise in tuning database queries for efficient handling of large-scale blockchain data.
  • Familiarity with indexing and partitioning techniques for optimised storage and retrieval of blockchain data.

Programming Proficiency (Essential)

  • Advanced skills in Python for blockchain scripting and automation.
  • Experience working with blockchain SDKs and libraries for data extraction and integration.

Cloud Deployment and Scaling (Essential)

  • Proficiency in deploying and scaling blockchain-focused databases on cloud platforms like AWS, Azure, or Google Cloud.
  • Experience using cloud-native tools for blockchain data security and performance enhancement.

Version Control and Debugging (Essential)

  • Experience with Git for version control and debugging complex blockchain-related database systems.

Data Integration and Warehousing (Desirable)

  • Experience with integrating blockchain data into data warehouses such as Snowflake or BigQuery.
  • Familiarity with data warehousing and advanced analytics on blockchain data.

Data Visualisation (Desirable)

  • Ability to transform blockchain data into insights through platforms like Power BI or Tableau.
  • Experience creating dashboards for monitoring on-chain activity and metrics.

Qualitative Skills (Essential)

  • Analytical mindset and problem-solving skills tailored to blockchain systems.
  • Independence and accountability in managing complex blockchain-related projects.
  • Strong adaptability and first-principles thinking in new or ambiguous situations.

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.