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Assistant Blockchain Data Scientist Jobs (NOW HIRING)

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation. * Reviews and defines requirements for data science cybersecurity ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

... May assist with the selection of appropriate analytical approaches towards automation. • Reviews and defines requirements for data science cybersecurity approaches. • Data Scientist Level 3 ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

... Assist with exploratory data analysis and basic statistical assessments • Develop simple ... Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of ...

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... a data scientist or machine learning engineer Strong Python, modeling and production data ... blockchain or another data-intensive environment would be beneficial but isn't essential.

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work ...

$98 - $163/hr

Apply advanced data science methodologies to structured and unstructured datasets to identify ... Experience analyzing blockchain, virtual currency, Fedwire, correspondent banking, or international ...

Data Scientist

Chandler, AZ · On-site

$90 - $120/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

This Data Scientist will assist with overseeing the development, implementation, and execution of project data plans, ensure scope and schedule are established for projects and assignments, and ...

Showing results 41-60

Assistant Blockchain Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Sep 5, 2026, the average yearly pay for assistant blockchain data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an assistant blockchain data scientist?

Assistant Blockchain Data Scientists are entry-level professionals who support senior data scientists in analyzing and interpreting data generated from blockchain networks. Their responsibilities often include gathering blockchain data, cleaning and preprocessing it, and assisting in developing models to extract insights about blockchain transactions, network activity, and trends. They also help create reports, visualize data, and may work with smart contract data to identify patterns or anomalies. This role requires knowledge of data science tools, programming languages like Python, and a fundamental understanding of blockchain technology.

What are the key skills and qualifications needed to thrive as an assistant blockchain data scientist?

To thrive as an Assistant Blockchain Data Scientist, you need a solid understanding of data analysis, blockchain technology, and programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with blockchain platforms (e.g., Ethereum), data visualization tools, SQL, and relevant certifications (such as blockchain or data analytics certificates) is highly valued. Analytical thinking, problem-solving abilities, and effective communication set exceptional candidates apart in this role. These skills are crucial for analyzing complex blockchain data, deriving actionable insights, and collaborating with technical and non-technical stakeholders.

What are some common challenges an assistant blockchain data scientist may face when analyzing on-chain data?

Assistant Blockchain Data Scientists often encounter challenges such as dealing with the sheer volume and complexity of blockchain data, as well as ensuring data quality and consistency across decentralized sources. Interpreting and cleaning raw transaction data, which may not always be structured or labeled, requires strong analytical and problem-solving skills. Collaboration with blockchain developers and other data scientists is key to overcoming these hurdles and developing meaningful insights that support business goals.
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Infographic showing various Assistant Blockchain Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Socket.dev

Chantilly, VA • On-site

$100 - $140/hr

Other

Re-posted yesterday


Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)

What will you do?

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and present information to decision makers. The impact an experienced data scientist can have on an organization is immense, including automating manual processes, predicting future trends, and detecting anomalies.

Data Scientist, Level 2 (Intermediate)

  • Responsible for applying data science techniques for cybersecurity solutions.
  • May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on patterns, anomalies, and potential security concerns, and support data management.
  • May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
  • May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
  • Reviews and defines requirements for data science cybersecurity approaches.
  • Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

  • Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
  • Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
  • Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
  • Spearheads data engineering and data management, advises on appropriate analytical approaches toward automation.
  • Establishes requirements for data science cybersecurity approaches.
Do you have what it takes?

Requirements:

All positions require: TS/SCI with Poly

Level 2 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
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