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Home Based Blockchain Data Scientist Jobs (NOW HIRING)

... 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 ...

... 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 ...

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 ...

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 ...

... 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 ...

You can help connect the unconnected, drive the future of automobiles, transform at-home ... The enterprise network product group consists primarily of optical-based communication networks ...

Data Scientist

Warsaw, IN · On-site

$85.37 - $96.85/hr

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in ... Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in ... Position Overview The Data Scientist designs and develops advanced analytical models to support ...

These positions will be filled at either level based on knowledge and related experience as ... You will have the flexibility to work from home up to 2, and at times 3, days per week. You will

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle is home to advanced facilities and leading industry experts who deliver end-to-end ... Salary ranges may vary based on geographic location and market conditions. Benefits: Live an ...

Data Scientist

Chantilly, VA · On-site

$135K - $180K/yr

Battelle is home to advanced facilities and leading industry experts who deliver end-to-end ... Salary ranges may vary based on geographic location and market conditions. Benefits: Live an ...

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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.

More about Home Based Blockchain Data Scientist jobs

What cities are hiring for Home Based Blockchain Data Scientist jobs?

Cities with the most Home Based Blockchain Data Scientist job openings:

What are the most commonly searched types of Blockchain Data Scientist jobs?

The most popular types of Blockchain Data Scientist jobs are:

What states have the most Home Based Blockchain Data Scientist jobs?

States with the most job openings for Home Based Blockchain Data Scientist jobs include:

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.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,562 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Overview

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

Why Join Our Data Science Team?

At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our data science teams also embrace staying current with the evolving data science landscape. 

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other Data Scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 


Our Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!

  • Potential starting salary range: $102,000 - $163,000
    • Starting salary will be based on skills, background, and experience
    • High end of the range limited to applicants with significant relevant experience
  • Potential yearly incentive pay up to 15% of base salary


At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!

  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family’s health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little “You” Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g., H-1B Visa) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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