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Home Based Blockchain Data Scientist Jobs (NOW HIRING)

CBIZ Employee Services Organization

$55 - $95/hr

Base Range Info Compensation for this role will be based on the background of the individual ... Master's degree in Accounting, Information Systems, Computer Science or related field preferred

New

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 ... Run experiments, apply causal inference, and drive evidence-based product decisions * Translate ...

Unchain Data

$130 - $190/hr

... account-based models in production environments. * NLP & LLMs: Proven track record shipping ... Partner with the Head of R&D, engineers, data scientists, and our investigations team to translate ...

New

Ripple

Senior Staff Data Scientist

San Francisco, CA · On-site

Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity ... 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 ...

Ripple

Senior Staff Data Scientist

San Francisco, CA · On-site

Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity ... Experience with FinTech, payments, crypto, or blockchain data is a strong plus. * Advanced degree ...

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 ...

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Home Based Blockchain Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do home based blockchain data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for home based 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 home based blockchain data scientist?

Home Based Blockchain Data Scientists are professionals who work remotely to analyze, interpret, and derive insights from data related to blockchain technologies. They use advanced analytics, machine learning, and statistical methods to study blockchain data, such as transaction records or smart contract activities, to support business decisions or product development. These scientists often collaborate with blockchain developers and business teams, and must be proficient in programming, data analysis, and have a strong understanding of blockchain systems. Their remote setup allows them to work from anywhere while contributing to blockchain projects globally.

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

To thrive as a Home Based Blockchain Data Scientist, you need strong statistical analysis, programming expertise (Python, R), and a deep understanding of both blockchain technology and data science principles, often backed by a degree in computer science, mathematics, or related fields. Familiarity with blockchain platforms (e.g., Ethereum, Hyperledger), smart contract development, big data frameworks like Hadoop or Spark, and relevant certifications such as Certified Blockchain Professional can be essential. Analytical thinking, problem-solving, self-motivation, and effective remote communication are crucial soft skills for success in this independent setting. These skills are important to extract actionable insights from blockchain data, drive innovation, and collaborate efficiently across distributed teams.

What are some common challenges faced by home based blockchain data scientists, and how can they be effectively managed?

Home-based blockchain data scientists often encounter challenges such as staying updated with rapidly evolving blockchain technologies and ensuring secure access to decentralized data sources. Additionally, remote work can sometimes make collaboration with cross-functional teams, like developers and product managers, more complex due to time zone differences and communication gaps. To manage these challenges, it's important to leverage secure data access protocols, participate in regular virtual meetings, use collaborative tools, and engage in continuous learning through online courses and blockchain communities.

What is the difference between Home Based Blockchain Data Scientist vs Blockchain Data Analyst?

AspectHome Based Blockchain Data ScientistBlockchain Data Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of blockchain technology; programming skillsDegree in Data Analysis, Statistics, or related; familiarity with blockchain data; analytical skills
Work EnvironmentRemote, flexible; involves data modeling, machine learning, and blockchain analysisRemote or office-based; focuses on data interpretation, reporting, and visualization
Employer & Industry UsageTech companies, blockchain startups, financial institutionsFinancial firms, consulting agencies, blockchain projects

The Home Based Blockchain Data Scientist primarily develops models and algorithms to analyze blockchain data, requiring advanced technical skills. In contrast, the Blockchain Data Analyst focuses on interpreting and visualizing blockchain data to support decision-making. Both roles often work remotely and are in high demand within the blockchain industry, but they differ in technical depth and responsibilities.

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Home Based Blockchain Data Scientist jobs near you
Infographic showing various Home Based Blockchain Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% 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 3 days ago

New

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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