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Web3 Data Scientist Salary in Web3

From 39 listings on Find Web3 that state pay, posted in the last 12 months.

Recounted daily. Last updated September 22, 2026.

Median
$201,203
Middle range (25th–75th)
$149,750–$229,075
Lowest stated
$83,000
Highest stated
$450,000
Annual pay in US dollars. Hourly and monthly rates are converted to a year; listings in other currencies are left out.
Group25thMedian75thListings
Mid-level$150,875$191,296$246,50012
Senior$178,750$205,000$225,50025
Fully remote$159,250$201,203$225,50027
Office or hybrid$108,500$204,000$281,25012

How the listings are spread

  • $60k-$100k5%
  • $100k-$150k21%
  • $150k-$200k23%
  • $200k-$300k41%
  • $300k and over10%

The share of listings whose stated pay falls in each band. A range counts once, at its midpoint.

Web3 data scientists work with the public record of what happened onchain and with the product data a company collects. The titles cover analysts, analytics and data engineers, and research roles at exchanges, protocols and wallets. The figures above use the pay those employers state in their own listings.

What the role builds moves the figure. Pipeline and warehouse work is priced as data engineering; onchain analytics is priced higher where it means decoding contracts rather than reading a dashboard; modeling is priced on what the model decides, with risk and fraud above reporting. Seniority, company stage and whether pay follows a global band do the rest.

Browse web3 data scientist jobs or see all Web3 salaries.

How much does a Web3 data scientist make?

The median and middle range above come from data listings on Find Web3 that state pay, across the period named at the top of the page. The title stretches from reporting through pipeline work to onchain research, so read the range as well as the median. The seniority rows above show how much of the difference is experience.

What skills do employers ask for in Web3 data roles?

SQL and Python are assumed. Beyond that, warehouse and pipeline tooling, and comfort with chain data in its raw form: logs, events and ABIs, and the decoding needed before any of it fits in a table. A query platform such as Dune, or a node provider's API, is usually how that gets done, along with the judgment to tell bots from real users.

Is onchain analytics different from regular data science?

The methods carry over; the data does not behave the same way. Onchain records are public and permanent, but an address is not a person, contracts have to be decoded before they mean anything, and a single user can hold many wallets. Employers hiring for these roles want someone who already knows where those traps are. Openings are listed on /jobs.

Recent listings that state pay

Taken from the web3 data scientist listings on this board. Pay is quoted as the employer wrote it.

Other Web3 salaries