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Core Scientific Jobs in Virginia (NOW HIRING)

Core Interface

Data Scientist

Chantilly, VA · On-site

Overview The Senior Data Scientist leads the design, development, and implementation of data-driven ... Core Interface Culture At Core Interface, we combine technical excellence with a culture that ...

Core One

Data Scientist

Tysons Corner, VA

Join our team at Core One! Our mission is to be at the forefront of devising analytical ... Core One is seeking a Data Scientist to support our IC program. This position requires a TS/SCI w ...

Battelle

Lead Technical Writer/Editor

Portsmouth, VA · On-site

The core scientific and technical capabilities and product lines in this program are to conduct Health Surveillance, Epidemiology, and Analysis; Disease and Injury Prevention; and PH Consultation and ...

Battelle

Lead Technical Writer/Editor

Portsmouth, VA · On-site

$116K - $125K/yr

The core scientific and technical capabilities and product lines in this program are to conduct Health Surveillance, Epidemiology, and Analysis; Disease and Injury Prevention; and PH Consultation and ...

Core One

IT Program Manager L1-6

Tysons Corner, VA · On-site

$116K - $117K/yr

Join our team at Core One! Our mission is to be at the forefront of devising analytical ... An Associate's degree in Computer Science, Information Systems, Engineering, Business, or a ...

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How much do core scientific jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for core scientific in Virginia is $22.54, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $22.93 per hour, depending on experience, location, and employer.

What is a Core Scientific job?

A Core Scientific job typically refers to a position at Core Scientific, a company specializing in blockchain infrastructure, AI, and high-performance computing. Jobs at Core Scientific can range from data center operations and engineering to roles in software development and infrastructure management. Employees often work with cutting-edge technologies, including cryptocurrency mining, cloud computing, and machine learning. These roles require expertise in IT, networking, and hardware maintenance to support large-scale computing environments.

Is Core Scientific an AI company?

Core Scientific is a technology company that specializes in blockchain infrastructure and cryptocurrency mining. While it uses advanced computing hardware and data center operations, it is not primarily classified as an artificial intelligence (AI) company. Job roles at Core Scientific may involve hardware maintenance, network management, and data center support.

What are the typical daily responsibilities for someone working in a Core Scientific role?

Daily responsibilities often include monitoring and maintaining data center hardware, addressing technical issues as they arise, optimizing system performance, and ensuring the reliability of computational resources. Team members may also assist with server installations, perform routine diagnostics, and implement security measures to protect sensitive data. Collaboration with IT specialists, engineers, and other technical staff is common to solve problems efficiently and maintain infrastructure integrity. These tasks help ensure the smooth and reliable operation of core computing systems essential to the organization's success.

What is a core scientist?

A core scientist is a professional involved in research and development within a scientific field, often working on core technologies or foundational research. In some contexts, the role may require strong analytical skills, familiarity with laboratory tools, and relevant scientific certifications or degrees.

Which 3 jobs will survive AI?

Core Scientific roles such as data scientists, AI specialists, and cybersecurity professionals are likely to persist as AI advances, since these jobs require complex problem-solving, domain expertise, and oversight of AI systems. Skills in programming, machine learning, and critical thinking will remain valuable, while routine tasks are more susceptible to automation.

Who is the CEO of Core Scientific?

As of October 2023, the CEO of Core Scientific is Mike Levitt. Leadership positions can change, so it is advisable to verify with the company's official website or recent press releases for the most current information.

What are the key skills and qualifications needed to thrive in the Core Scientific position, and why are they important?

To thrive in a Core Scientific role, you need a solid background in data center operations, hardware maintenance, and computational infrastructure, often supported by a degree in computer science, engineering, or a related field. Familiarity with server management, high-performance computing systems, and software tools such as Linux, Python, or specialized monitoring platforms is highly beneficial. Strong problem-solving skills, effective communication, and a collaborative mindset are essential for standing out in this position. These abilities ensure smooth operations, high system uptime, and effective support within a fast-paced, technology-driven environment.

What are the most commonly searched types of Core Scientific jobs in Virginia? The most popular types of Core Scientific jobs in Virginia are:
What are popular job titles related to Core Scientific jobs in Virginia? For Core Scientific jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Core Scientific jobs in Virginia look for? The top searched job categories for Core Scientific jobs in Virginia are:
Core Scientific jobs near you
Infographic showing various Core Scientific job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $46,873 per year, or $22.5 per hour.

Data Scientist

Core Interface

Chantilly, VA • On-site

Full-time

Re-posted yesterday

Job description

Overview
The Senior Data Scientist leads the design, development, and implementation of data-driven solutions that support strategic decision-making and mission objectives. This role works closely with stakeholders, engineers, and analysts to translate complex data into actionable insights, leveraging advanced statistical, machine learning, and cloud-based analytical techniques.
Key Responsibilities
  • Lead the end-to-end lifecycle of data science projects - from data collection and exploration to model development, evaluation, and deployment.
  • Design and implement predictive models, NLP solutions, and advanced analytics to solve business and operational problems.
  • Work with large, complex datasets from multiple sources, ensuring data quality, consistency, and security.
  • Collaborate with engineering teams to integrate data science solutions into production systems (cloud or on-prem).
  • Mentor junior data scientists and analysts, providing technical guidance and peer reviews.
  • Present findings and visualizations to technical and non-technical audiences.
  • Stay current with emerging technologies, frameworks, and research in AI/ML and data science.

Qualifications
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of hands-on experience applying machine learning and statistical modeling to real-world problems.
  • Proficiency in Python, R, or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Experience with cloud platforms (AWS, Azure, or GCP) and data tools (Spark, Databricks, Airflow).
  • Strong knowledge of SQL and experience with relational and NoSQL databases.
  • Ability to communicate technical concepts clearly and effectively to diverse audiences.
  • Active security clearance or eligibility to obtain one (for government contracts) preferred.

Core Interface Culture
At Core Interface, we combine technical excellence with a culture that values balance, innovation, and collaboration. Our teams work on mission-critical federal programs in data analytics, cybersecurity, and application development - where your work truly matters.

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