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Linux Data Scientist Jobs (NOW HIRING)

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will design, prototype, and implement a data management and application ... Experience with Linux systems Qualifications: Required qualifications: * Bachelor's Degree ...

SOSi

Data Scientist

Redstone Arsenal, AL · Hybrid

Utilize Linux for development of data processing and model deployment. * Collaborate with data ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 ...

SOSi

Data Scientist

Huntsville, AL · On-site

Utilize Linux for development of data processing and model deployment. * Collaborate with data ... Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 ...

ECS

Data Scientist

Springfield, VA · On-site

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks ... Proficient with Linux shell scripting * Experience using statistical programming languages such as ...

Jobtailor

Data Scientist

Charlotte, NC · On-site

$125 - $150/hr

Meet peers and business partners across Data Science, Data Engineering, Performance Analytics ... Experience or ability to work with Linux and bash * Familiarity with Jupyter, VS Code, and RStudio

New

Amatriot Group, LLC

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... a Data Scientist to provide engineering and technical support to assist our government customer ... You will demonstrate competent knowledge of Linux systems, computer vision and camera operations.

VTG

Data Scientist

Beavercreek, OH · On-site

The Data Scientist will design, prototype, and implement a data management and application ... Experience with Linux systems

GRVTY

Data Scientist

Chantilly, VA · On-site

$150K - $250K/yr

What You'll be Owning GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable ... Experience with both Linux and Windows Operating Systems * Experience working with Cyber data to ...

PROPRIUS

Data Scientist

Sunnyvale, CA · On-site

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... Java, Scala, C/C++ preferably on a UNIX or Linux platform. * Experience with ETL and Data-Warehouse.

Samsung SDS

Senior Linux Data Center Engineer

Plano, TX · On-site

$125 - $150/hr

Bachelor's degree in computer science, Information Technology, or a similar field. * At least 8 years of experience in infrastructure engineering * Data center operations, server hardware, Linux, and ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

iQuasar is seeking to fill an Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar ... Strong knowledge of Linux or Unix-like OS. * Excellent coding skills in Python, ability to handle ...

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

iQuasar is seeking to fill an Data Scientist/Machine Learning Engineerin San Diego, CA. At iQuasar ... Strong knowledge of Linux or Unix-like OS. * Excellent coding skills in Python, ability to handle ...

Via Logic LLC

Data Scientist

Springfield, VA · On-site

$125 - $150/hr

Position Overview Leidos has an opening for an Exploitation Specialist/Data Scientist - Senior ... Windows/Linux command line interface (CLI) experience. * Demonstrated IC experience. Pay Range $92 ...

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches ...

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches ...

Applied Physics

Data Scientist

New York, NY · On-site

Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join ... in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches ...

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Linux Data Scientist information

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$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

Beavercreek, OH • On-site

VTG
See more jobs at VTGexternal

Full-time

Re-posted 3 days ago

Key responsibilities

  • Design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture tasks.

  • Gather, organize, and analyze data, including conducting data analytics and developing data analytic and AI/ML based applications.

  • Work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype solutions.

Job description

Overview

VTG is seeking a Data Scientist to support our Team in Beavercreek, OH. The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data, conducting data analytics, and developing data analytic and AI/ML based applications. This is an onsite role due to its classification level.


What will you do?

The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data scientist would be involved at all levels of the data life cycle from onboard management of data to its use in application development and back to application integration and gathering test data.

  • Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment
  • Perform data analytics of simulated and real-world data
  • Integrate structured and unstructured data from disparate data sources
  • Develop applications and models supporting various users
  • Provide technical input to program managers and government representatives

Do you have what it takes?

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Qualifications:

Required qualifications:

  • Bachelor’s Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field
  • 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data
  • Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.)
  • Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask)
  • Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB)
  • Knowledge of data modeling principles
  • Experience in knowledge extraction and insights from data in various forms, both structured and unstructured
  • Cloud development experience, preferably in AWS
  • Excellent verbal and written communication skills
  • US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance
  • Successful completion of background check

Desired qualifications:

  • Master’s Degree or higher in Computer Science, Data Science, or Information Systems
  • Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud
  • Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn)
  • Experience using Git for version control and issue tracking
  • Experience with artifact repositories (e.g. Artifactory)
  • Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines)
  • Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn)
  • Experience leading teams and projects
  • Programming experience in C++ and Java
  • Experience with Linux systems
Education:UNAVAILABLEEmployment Type: FULL_TIME

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