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Blockchain Data Scientist Jobs (NOW HIRING)

De Circle

Data Scientist - Fun.xyz

New York, NY · On-site

For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and ... Role Overview We're looking for a Data Scientist to supercharge our data-driven strategy and ensure ...

Unchain Data

$130 - $190/hr

Partner with the Head of R&D, engineers, data scientists, and our investigations team to translate ... Blockchain ledger data, smart contracts, or web3 languages (Solidity, Vyper, Go, Bitcoin Script)

CBIZ Employee Services Organization

$55 - $95/hr

Blockchain Data Solutions Associate | 2026 New York, NY, United States (Hybrid) Job Info * Job ... Master's degree in Accounting, Information Systems, Computer Science or related field preferred

Ripple

Senior Staff Data Scientist

San Francisco, CA · On-site

You'll define the analytics vision, build the scientific frameworks the org uses to evaluate ... Experience with FinTech, payments, crypto, or blockchain data is a strong plus. * Advanced degree ...

Merkle Science

WI · On-site

$100 - $130/hr

About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence ... We're looking for a data scientist who is as comfortable shipping a heuristic to production as they ...

RADcube - A NLogix Company

Data Scientist

Indianapolis, IN · On-site

$110 - $160/hr

... Blockchain, and Cloud Computing. With nearly a decade of industry experience, RADcube serves ... Data Scientist Hybrid - Indianapolis, IN About the Role We are seeking a Data Scientist with 3-5 ...

De Circle

Data Scientist - DyDx

New York, NY · On-site +1

Build pipelines for blockchain transaction, order book, and market participant data to support ... Bachelor's or Master's degree in quantitative fields (Computer Science, Statistics, Economics) or a ...

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How much do blockchain data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for blockchain data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a blockchain data scientist?

A Blockchain Data Scientist applies data science techniques to analyze blockchain data, detect patterns, and derive insights from decentralized networks. They work with on-chain and off-chain data to improve security, optimize smart contracts, and support decision-making in blockchain applications. Their role involves statistical analysis, machine learning, and data engineering to interpret large-scale blockchain datasets. They often collaborate with developers, analysts, and business teams to enhance transparency, fraud detection, and efficiency in blockchain ecosystems.

What are the key skills and qualifications needed to thrive as a blockchain data scientist?

To thrive as a Blockchain Data Scientist, you need expertise in data analytics, cryptography, blockchain technologies, and a strong background in mathematics or computer science. Familiarity with programming languages such as Python or R, blockchain frameworks like Ethereum or Hyperledger, and data visualization tools are highly advantageous, as are relevant certifications in data science or blockchain. Strong analytical thinking, creative problem-solving, and the ability to communicate complex insights to technical and non-technical audiences set top candidates apart. These skills are essential for extracting actionable insights from decentralized data, ensuring data integrity, and driving innovation in blockchain-based solutions.

What are some common challenges faced by blockchain data scientists in their daily work?

Blockchain Data Scientists often face challenges such as managing and interpreting vast amounts of decentralized and sometimes inconsistent data, as blockchain data structures can be complex and require specialized methodologies for analysis. Additionally, ensuring data privacy and security while developing scalable analytical models is a key concern in this role. Collaboration with cross-functional teams, including blockchain developers and business analysts, is frequent to ensure that analytical insights align with product or business goals. Staying updated with the rapidly evolving blockchain landscape is also crucial, as new protocols and technologies can impact project requirements and analytical approaches.

Is it hard to get a job in blockchain?

Securing a blockchain data scientist position can be competitive due to high demand for skills in blockchain technology, data analysis, and programming languages like Python or Solidity. Candidates with relevant experience, certifications, and a strong understanding of blockchain concepts tend to have better chances, but the field is growing and opportunities are expanding for qualified professionals.
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Blockchain Data Scientist jobs near you
Infographic showing various Blockchain Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Blockchain, Data Analytics (Remote)

Unchain Data

Manhattan, NY • On-site

$120 - $170/hr

Other

Medical, Retirement

Posted 4 days ago

Job description

About Us

Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.

About The Role

We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.

Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment
Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)
Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy
Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights
Nice to Have
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)
Ideal Candidate Profile
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact
Benefits
  • Competitive Salary
  • Health Insurance (US Only)
  • 401(k) (US Only)
  • Remote Work Environment
  • Maternity/Paternity Leave
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