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Home Based Blockchain Data Scientist Jobs (NOW HIRING)

Data Scientist

Manhattan, NY · On-site

$250 - $350/hr

... blockchain, cryptocurrency, and artificial intelligence is seeking a highly autonomous and ... This is an entirely onsite role based in New York City (NYC) designed for an ambitious, self ...

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 ...

Octagon Talent Solutions is a full-service technology recruitment and staffing company based in ... Requirements : * Bachelor's degree in Computer Science, Cybersecurity, Forensic Analysis, or ...

Bachelor's degree in Computer Science, Cybersecurity, Forensic Analysis, or related field. Advanced ... Experience with graph analysis tools and data visualization software.Understanding of MEV ...

$180 - $250/hr

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 ...

Requirements : * Bachelor's degree in Computer Science, Cybersecurity, Forensic Analysis, or ... Proficiency in Python, JavaScript, or similar programming languages for blockchain data analysis.

Requirements : * Bachelor's degree in Computer Science, Cybersecurity, Forensic Analysis, or ... Proficiency in Python, JavaScript, or similar programming languages for blockchain data analysis.

Senior Blockchain Developer

Dallas, TX · On-site

$54.25 - $71.50/hr

... based or other enterprise?relevant L1s). • Evaluate and, where appropriate, contribute to ... data services and APIs • Interoperability and cross?chain integration components • Ensure ...

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position ... Based on the specific data science team, this role would need to be knowledgeable in one or more ...

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... We are also proud to be Certified by Great Place to Work, a recognition based entirely on feedback ...

With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued ... We are also proud to be Certified™ by Great Place to Work ® , a recognition based entirely on ...

... om home and some time working in the office as part of our hybrid work environment. Why Join Our ... Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ...

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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 5, 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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What job categories do people searching Home Based Blockchain Data Scientist jobs look for?

The top searched job categories for Home Based Blockchain Data Scientist jobs are:

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.

Staff Data Scientist - Payments

Unchain Data

San Francisco, CA • On-site

$195 - $257.50/hr

Other

Re-posted 21 hours ago


Key responsibilities

  • Partner with the Payments team to design and develop foundational datasets, metrics, and analytical frameworks that support product strategy and business decision-making.

  • Analyze customer behavior, product adoption, and transaction activity to generate actionable insights that improve payment experiences and drive business growth.

  • Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and business intelligence tools to increase organizational leverage.


Job description

About Us

Circle (NYSE: CRCL) is one of the world's leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation.

What You'll Be Part Of

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

The Role

As a Staff Data Scientist at Circle, you will partner closely with product, payments, and business leaders to transform data into strategic insights that drive decision-making and product innovation. You will leverage advanced analytics, experimentation, and quantitative methods to better understand customer behavior, product performance, and the evolving payments ecosystem. As a staff individual contributor and trusted subject matter expert, you will influence product strategy, identify new business opportunities, and help shape the future of Circle's payments products. You will build scalable data solutions, lead complex analytical initiatives, and provide thought leadership that enables the business to make better decisions through data. This role is ideal for someone who is deeply curious, thrives in ambiguity, enjoys solving complex business problems, and is motivated by creating measurable impact at scale.

Responsibilities
  • Partner with the Payments team to design and develop foundational datasets, metrics, and analytical frameworks that support product strategy and business decision-making.
  • Analyze customer behavior, product adoption, and transaction activity to generate actionable insights that improve payment experiences and drive business growth.
  • Research onchain payments ecosystems, blockchain transaction data, and competitive payment solutions to inform product development and market positioning.
  • Lead strategic analyses that identify new opportunities for product innovation, operational efficiency, and revenue growth.
  • Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and business intelligence tools to increase organizational leverage.
  • Communicate analytical findings through compelling visualizations and data storytelling tailored to technical and non-technical stakeholders, including senior leadership.
  • Influence product and business strategy by partnering cross-functionally with Product, Engineering, Operations, and Business leaders to drive data-informed decision-making.
Core Values
  • Multistakeholder - You demonstrate dedication and commitment to our customers, shareholders, employees, families, and local communities.
  • Mindful - You are respectful, actively listen, and pay close attention to detail.
  • Driven by Excellence - You relentlessly pursue excellence and are passionate about delivering exceptional outcomes for customers and the business.
  • High Integrity - You value open and honest communication and hold yourself to the highest ethical standards.
  • Future Forward - You embrace innovation and help drive the evolution of money through transformative technology.
Requirements
  • 10+ years of experience in Data Science, Analytics, Economics, Statistics, or a related quantitative field.
  • Advanced proficiency in SQL and at least one programming language such as Python or R.
  • Deep expertise in statistical modeling, experimentation, causal inference, and quantitative methods.
  • Proven track record of independently leading large-scale analytical and data science initiatives from ambiguous problem statements to measurable business outcomes.
  • Strong experience influencing product strategy, business decisions, and senior stakeholders through data-driven recommendations.
  • Experience building scalable data products, analytical frameworks, and self-service capabilities that drive organizational leverage.
  • Excellent analytical and problem-solving skills with strong attention to detail and data quality.
Preferred Qualifications
  • Deep experience working with payments products, payment networks, fintech, or financial services platforms.
  • Experience analyzing blockchain datasets, onchain transaction activity, and public ledger data.
Compensation

Base Pay Range: $195,000 - $257,500

Circle considers a wide variety of elements when crafting compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

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