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Remote Blockchain Data Scientist Jobs (NOW HIRING)

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Great Gray

Data Scientist

The data scientist we seek comeswith strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Knexus

Data Scientist (Remote)

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

Great Gray

Data Scientist

The data scientist we seek comes with strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical ...

YO AI Labs

Data Scientist Expert - Remote

New York, NY · Remote

Data Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · Remote

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

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How much do remote blockchain data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote 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.
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Remote Blockchain Data Scientist jobs near you
Infographic showing various Remote Blockchain Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Remote)

Atlanta, GA • Remote

Talon Hiring Solutions
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Talon Hiring Solutionsexternal

$200K - $225K/yr

Full-time

Posted 3 days ago

New

Job description

Talon Hiring Solutions has a clienthat is looking for a Data Scientist to join the Data and Analytics Team.  This team owns the development of insights from extraction that power decision-making.  The role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems.  You will own the statistical modeling and feature engineering that exists in the data.  Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

*This role is fully remote with some travel to the home office in Birmingham, AL*

What You'll Do
  • Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
  • Transform complex data into actionable insights that support business and customer decisions.
  • Develop and maintain features and training datasets within Snowflake and dbt.
  • Use Python and SQL to perform feature engineering, statistical analysis, and machine learning.
  • Validate and monitor model performance using appropriate metrics such as precision, recall, and AUC.
  • Deliver model outputs that can be integrated into BI tools and downstream platforms.
  • Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
  • Translate ambiguous business questions into well-defined modeling and analytics requirements.
  • Document models, features, assumptions, data lineage, experiments, and results to ensure solutions are reliable and reproducible.
  • Track and manage experiments using MLflow or similar tools.
  • Continuously improve data science, feature engineering, and predictive modeling capabilities.
What You'll Bring
  • 4+ years of hands-on experience in Data Science, Machine Learning, Analytics, or a related field.
  • Proven experience building and deploying predictive models in a business environment.
  • Strong Python skills, including experience with pandas, scikit-learn, and related data science libraries.
  • Strong SQL skills and experience working with large or complex datasets.
  • Experience with classification and regression modeling and model evaluation techniques.
  • Experience working with Snowflake or a similar cloud data platform.
  • Experience with Git, version control, code reviews, and standard software development practices.
  • Experience with feature engineering and building datasets for machine learning models.
  • Ability to turn ambiguous business problems into practical, data-driven solutions.
  • Strong communication skills and the ability to explain technical findings to non-technical audiences.
  • Strong documentation and organizational skills.
  • A collaborative, curious, and results-oriented mindset.
  • Experience in retail, CPG, consumer technology, or consumer hardware.
  • Experience with Snowpark, Snowflake ML Functions, dbt, or MLflow.
  • Experience working with feature stores.
  • Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.