Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Archimed

San Francisco, CA, United States

$80k - $150k

Binance

Paris, France

Gnosis

Berlin, Germany

Figure

United States

Figure

United States

$91k - $96k

Chainalysis

London, United Kingdom

$45k - $100k

Ultra

Tallinn, Estonia

$105k - $111k

Injective Labs

Remote

$91k - $156k

Palm NFT Studio, Inc.

Van, Turkey

$36k - $90k

Revolut

Poland

$27k - $115k

Revolut

Spain

$27k - $115k

Minds

Remote

$45k - $75k

Nuri

Berlin, Germany

$40k - $62k

Ledger

Paris, France

$32k - $76k

Binance

Singapore, Singapore

Archimed
$80k - $150k
California San Francisco United States
Apply

$80k – $150k

We are still hiring as of February 15th !

Archimed.is is a stealth-mode engineering startup specialized in NFT Analytics. We’d like to provide a intelligence platform for NFT investors and app developers. In particular, we aim to provide cross- marketplace price information, NFT liquidity stats, and Metaverse real estate intelligence. We also envision to provide a search engine and buy-sell support capabilities in the future.

Read more about our startup values here. More information about our startup and product ambitions will be provided to applicants.

About the role:

We are looking for an experienced Data Analyst or Data Scientist with a strong interest in NFTs and blockchain games (Sandbox, Decentraland, Axie Infinity, etc) to help us produce cutting data insights into the NFT trading ecosystem.

As early employee you will have a big impact in the design of our data product
The right person will have the ability to earn early equity in our company, and take senior analytics or data science positions as we grow and raise VC funding
You can be located anywhere in the world, as our startup is fully remote
Your responsibilities:

Formulate meaningful hypothesis to study purchase and user behavior in the NFT market & Metaverse
Support our DE team to collect NFT Data into our centralized transaction Warehouse
Elaborate meaningful data ontologies for capturing NFT and Metaverse activity
Query our NFT transaction warehouse to understand NFT collection trends, buy and sell behavior, metaverse land evaluation, and more.
Produce those insights into real time graphs to be published on our product
Constantly learn about the changing NFT and Metaverse ecosystems
The right person has :

Strong analytical mind with ability to independently formulate & verify hypothesis using data
Exposure to the crypto industry, whether professionally or as a hobby
Strong knowledge of SQL and Python
Good experience in plotting & web visualization librairies (streamlit, dash, etc)
Detail oriented, able to get things done fast
Experience in & discipline for working remotely
Willingness to adapt to the fast paced NFT environment
Excellent written english communication skills
Bonus: Experience with Data Engineering and Data Warehousing tools (dbt, Airflow, Bigquery)
Bonus: Experience in NFT, Metaverses and/or blockchain-based games
Interested ? Send us your CV to [email protected] and tell us us why you would be the right person for this role.

Archimed focuses on Big Data Analytics, Cryptocurrency, and Blockchain / Cryptocurrency. Their company has offices in San Francisco. They have a small team that's between 1-10 employees.

You can view their website at https://www.archimed.is/

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.