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Home Based Blockchain Data Scientist Jobs (NOW HIRING)

Maymont Homes

Data Scientist

Charleston, SC · On-site

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 ...

Brookfield Properties

Data Scientist

Charleston, SC · On-site

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 ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

... 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 ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

... 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 ...

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

Tactile Medical specializes in developing at-home therapy devices for various medical conditions ... based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical ...

State Farm

Data Scientist

Richardson, TX · Hybrid

... 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 ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

... 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 ...

Brookfield Properties

Data Scientist

Charleston, SC · Remote

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 ...

State Farm

Data Scientist

Bloomington, IL · On-site

... 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 ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

... 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 ...

Corning

Data Scientist

Charlotte, NC · On-site

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 ...

Corning

Data Scientist

Charlotte, NC

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 ...

Corning

Data Scientist

Charlotte, NC · On-site

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 ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

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

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All JobsHome Based Blockchain Data Scientist Jobs

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 Aug 10, 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 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.

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.
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:
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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, 15% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Maymont Homes

Charleston, SC • On-site

Full-time

Retirement, PTO

Posted 26 days ago

Job description

Location
Charleston - 997 Morrison Drive, Suite 402
Business
Our Growth, Your Opportunity
At Maymont Homes, our success starts with people, our residents and our team. We are transforming the single-family rental experience through innovation, quality, and genuine care. With more than 20,000 homes across 47+ markets, 25+ build-to-rent communities, and continued expansion on the horizon, we are more than a leader in the industry-we are a company that puts people and communities at the heart of everything we do.
As part of Brookfield, Maymont Homes is growing quickly and making a lasting impact. We are also proud to be Certified™ by Great Place to Work®, a recognition based entirely on feedback from our employees. This honor reflects the culture of trust, collaboration, and belonging that makes Maymont a place where people thrive.
Join a purpose-driven team where your work creates opportunity, sparks innovation, and helps families across the country feel truly at home.
Job Description
**This position is onsite at 997 Morrison Dr, Charleston SC**
Primary Responsibilities: The Data Scientist leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization. This role develops, validates, and deploys predictive and statistical models using Python, while also performing hands-on data analysis, data extraction, and ad hoc reporting using Python, SQL, and Excel.
Working closely with cross-functional business partners, the Data Scientist translates business questions into analytical solutions, delivering actionable insights that support strategic initiatives and operational decision-making. The role is responsible for owning the end-to-end modeling lifecycle, including problem definition, data preparation, model development, validation, performance evaluation, and communication of results to both technical and non-technical audiences.
The ideal candidate combines strong expertise in data science, machine learning, and statistical analysis with practical proficiency in Python, SQL, and Excel. They are intellectually curious, analytical, and comfortable working with complex datasets to uncover meaningful insights. Success in this role requires the ability to quickly develop domain expertise in the housing industry, collaborate effectively with business stakeholders, and translate technical findings into clear, impactful recommendations that drive business value.
Skills & Competencies:
Qualifications:
  • Bachelor's degree in Data Science, Statistics, Economics, Finance, Applied Mathematics, Computer Science, Engineering, or a related quantitative field.
  • 3+ years of experience in data science, analytics, or applied quantitative work.
  • Strong problem-solving skills and attention to detail.
  • Strong Python, SQL, and Excel skills, with the ability to handle ad hoc data requests from business partners.
  • Excellent communication, collaboration, and presentation skills with both technical and business audiences.
  • Familiarity with Git, Agile development methodologies, and collaborative software development practices.

Preferred Qualifications:
  • Experience within real estate, private equity, investment management, asset management, or financial services.
  • Experience building and deploying predictive pricing, forecasting, or optimization models in production.
  • Experience utilizing geospatial analytics and external market data sources.
  • Experience with AWS cloud services and modern AI platforms.

Essential Skills:
  • Data Science & Machine Learning: Solid working knowledge of statistical modeling, predictive analytics, regression, and core machine learning methods, with hands-on experience building models.
  • Problem Solving: Ability to take a defined business problem, develop an analytical approach, and translate findings into clear, usable recommendations for business partners.
  • Excel & Ad Hoc Analysis: Advanced Excel skills, including the ability to quickly turn around ad hoc data requests, build clear analyses, and summarize results for business partners such as Asset Management and Operations.
  • Programming: Strong Python and SQL skills for building models and analyzing data, with hands-on experience using common libraries (e.g., pandas, scikit-learn).
  • Artificial Intelligence: Baseline experience working with AI tools, including an understanding of prompts and prompt engineering to improve analytical efficiency.
  • Model Deployment: Exposure to how models are deployed to production and monitored over time, with willingness to develop these skills alongside team members.
  • Collaboration: Ability to work effectively across data science, engineering, and business teams, building strong partnerships and contributing to shared goals.
  • Communication: Ability to clearly communicate complex analytical concepts to technical and non-technical audiences.

Essential Job Functions:
Typical Day Activities:
  • Partner with business teams, including Asset Management and Operations, to handle ad hoc data requests and support day-to-day operational and portfolio questions.
  • Build predictive models in Python to address defined business problems, such as pricing, occupancy, or operational performance, in collaboration with senior team members.
  • Help deploy models into production and monitor their performance, learning production best practices with support from senior team members and Data Engineering.
  • Summarize findings into clear, concise takeaways for business partners.
  • Collaborate with Data Engineering to ensure scalable, reliable, and trusted analytical datasets.

Key Metrics & Responsibilities:
  • Decision Support: Provide timely, accurate analysis and ad hoc data support that helps business partners make better decisions.
  • Model Building: Build and maintain models in Python that reliably address the business problems they are assigned to solve.
  • Quality of Analysis: Deliver accurate, well-organized analyses that business partners can trust and use.
  • Growth & Learning: Steadily expand technical skills and business knowledge, including new tools and modeling techniques and the housing industry, over time.
  • Data Quality & Analytical Standards: Ensure analytical rigor, statistical integrity, reproducibility, and documentation across all models and analyses.

Why work for Maymont Homes?
Our Mission - "We Positively Impact the Lives in the Communities We Serve." Every role contributes to this purpose, helping families find a place to call home while making a difference in the communities we support.
Certified Great Place to Work® - Our people make us who we are. This certification celebrates the values and culture that fuel collaboration, innovation, and care.
Outstanding Benefits - Backed by Brookfield, our benefits include a 5% 401(k) match, wellness credits that reduce healthcare costs, and up to 160 hours of PTO annually for full-time employees.
Career Growth - With continued expansion planned for Maymont, you'll find meaningful opportunities to grow your skills, advance your career, and make an impact.
Strong Foundation - As part of Brookfield Asset Management, one of the world's largest real estate asset managers, we have the stability, resources, and vision to keep growing.
Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. #MYMT

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