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Linux Data Scientist Jobs (NOW HIRING)

Data Scientist

Saint Louis, MO ยท On-site

$100 - $125/hr

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Linux environment. * Direct experience and demonstrated proficiency with Python programming to ...

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Linux environment. * Direct experience and demonstrated proficiency with Python programming to ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist

El Segundo, CA ยท On-site

$95K - $142K/yr

The Data Science and Artificial Intelligence Department (DSAID)seeksa creative and enthusiastic ... Familiarity with Unix/Linux operating systems * This position requires ability to obtain ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Linux environment. * Direct experience and demonstrated proficiency with Python programming to ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist Location: Springfield, VA Clearance: TS/SCI Citizenship: US Citizenship Required ... Linux environment. * Direct experience and demonstrated proficiency with Python programming to ...

Data Scientist

Chantilly, VA ยท On-site

$95K - $142K/yr

The Data Science and Artificial Intelligence Department (DSAID)seeksa creative and enthusiastic ... Familiarity with Unix/Linux operating systems * This position requires ability to obtain ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Fundamental experience developing data science algorithms with C++, Python, or R in Linux, UNIX, Windows environments, sufficient to integrate solutions into larger applications. * Experience ...

Data Scientist Location: St. Louis, MO Clearance: TS/SCI Citizenship: US Citizenship Required ... Linux environment. * Direct experience and demonstrated proficiency with Python programming to ...

Our data science teams also embrace staying current with the evolving data science landscape ... Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist

Fort George G Meade, MD ยท On-site

$125 - $150/hr

Ability to work in Windows and Linux OS environments * Bachelor's degree in Operations Research, Applied Mathematics, or Data Science Clearance: Applicants selected will be subject to a security ...

Data Scientist

El Segundo, CA ยท On-site

$95K - $142K/yr

The Data Science and Artificial Intelligence Department (DSAID) seeks a creative and enthusiastic ... Familiarity with Unix/Linux operating systems * This position requires ability to obtain and ...

Utilize Linux for development of data processing and model deployment. * Collaborate with data ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Utilize Linux for development of data processing and model deployment. * Collaborate with data ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Utilize Linux for development of data processing and model deployment. * Collaborate with data ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * A ...

Showing results 21-40

Linux Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do linux data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for linux 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 does a Linux data scientist do?

A Linux Data Scientist is a professional who analyzes and interprets complex data using statistical and computational techniques, primarily within Linux-based environments. They leverage tools and programming languages like Python, R, and Bash to process large datasets, develop models, and extract actionable insights, often on servers running Linux. Their work may include data cleaning, visualization, machine learning model development, and deploying solutions in production environments. Proficiency with Linux is essential, as many data science workflows and big data tools are optimized for or exclusively available on Linux. This role typically collaborates with engineers, analysts, and business stakeholders to solve data-driven problems.

What are the key skills and qualifications needed to thrive as a Linux data scientist?

To thrive as a Linux Data Scientist, you need a solid background in statistics, machine learning, data analysis, and proficiency in programming languages like Python or R, often supported by a degree in computer science, mathematics, or a related field. Familiarity with Linux command line tools, scripting, and data processing frameworks, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and collaboration skills help you work efficiently in cross-functional teams. These skills are crucial for analyzing complex datasets, building robust models, and ensuring reliable, scalable solutions in Linux-based environments.

How does a Linux data scientist typically collaborate with software engineers and IT teams?

Linux Data Scientists often work closely with software engineers and IT professionals to deploy machine learning models and manage data pipelines in production environments. Collaboration usually involves sharing code through version control systems (like Git), troubleshooting compatibility issues, and optimizing computational workflows for scalability and performance. Clear communication is essential, as data scientists may need to explain statistical models or data needs, while engineers assist with system integration and automation. This teamwork ensures that data-driven solutions are robust, maintainable, and aligned with organizational goals.

What is the difference between Linux Data Scientist vs Data Engineer?

AspectLinux Data ScientistData Engineer
Required CredentialsDegree in Data Science, Computer Science, or related field; Python, R, SQL skills; Linux proficiencyDegree in Computer Science, Software Engineering, or related; SQL, Python, Linux skills; Cloud platform knowledge
Work EnvironmentData analysis, modeling, and research on Linux-based systems; focus on algorithms and insightsBuilding and maintaining data pipelines on Linux servers; focus on infrastructure and data flow
Employer & Industry UsageTech companies, finance, healthcare, research institutionsTech firms, data-driven companies, cloud service providers

Linux Data Scientists focus on analyzing data and developing models using Linux environments, while Data Engineers build and maintain the data infrastructure. Both roles require Linux skills and often overlap, but their core responsibilities differ: analysis versus infrastructure development.

Are Linux Data Scientist jobs in demand?

Linux Data Scientist jobs are in high demand due to the need for expertise in data analysis, machine learning, and working with Linux-based environments. Employers seek candidates skilled in programming languages like Python and R, as well as familiarity with cloud platforms and data tools, making these roles increasingly available across various industries.

What are popular job titles related to Linux Data Scientist jobs?

For Linux Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Linux 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

Saint Louis, MO โ€ข On-site

Intellectix
IT Servicesย โ€ขย 11 - 50 employees

$100 - $125/hr

Other

Re-posted 16 days ago


Job description

Data Scientist

Location: St. Louis, MO
Clearance: TS/SCI
Citizenship: US Citizenship Required

Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software systems. Because at Intellectix, it's not what we do, it's why we do it.

Responsibilities & Duties:

This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team, the Data Scientist's expertise is needed to support a sophisticated enterprise environment. The Scientist is an active participant in SAFe and Scrum development teams and meetings.

  • Identify data sources and automate collection processes.
  • Perform preprocessing of structured and unstructured data.
  • Analyze large, complex data sets to identify trends and patterns.
  • Build predictive models and machine learning algorithms.
  • Combine models through ensemble modeling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to address Key Intelligence Questions.
  • Collaborate with engineering and product development teams.
Qualifications: Education/Experience:
  • 2+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a Bachelor's Degree in Computer Programming, Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience.
  • 3+ years of experience in a Linux environment.
  • Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
  • Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow).
  • Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
  • Experience with workload managers (SLURM, Argo Workflow, Airflow).
  • Strong problem-solving and troubleshooting skills.
  • Strong communication and interpersonal skills.
  • Must possess excellent time management skills and the drive to work unsupervised.
  • Active TS/SCI clearance required and eligibility to obtain a CI poly.
Desired Skills:
  • Prior experience working with or within the Intelligence Community or a military intelligence unit.
  • Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.).
  • Computer vision-related experience with torchvision or tensorflow object detection APIs.
  • Additional languages on top of Python preferred (C++, Julia, Go, R).
  • Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex).
  • Experience building data pipelines with spark, kafka, or nifi.

Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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