ZipRecruiter

Log In

1

Data Science Training Jobs in Virginia (NOW HIRING)

Cmu

Data Scientist

Arlington, VA

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Provide advice on emerging data science methods, tools, algorithms, training, or requirements to advance DRI-7's analytic edge in its use of data science. * Work with DRI-7 vendors and the software ...

Carnegie Mellon University

Data Scientist

Arlington, VA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent combination of training ...

next page

Showing results 1-20

All JobsData Science Training JobsData Science Training Jobs in Virginia

Data Science Training information

See Virginia salary details

$23.8K

$101.1K

$189.6K

How much do data science training jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data science training in Virginia is $101,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,049.00 and $119,621.00 per year, depending on experience, location, and employer.

What is a Data Science Training job?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What are the typical responsibilities of a professional in Data Science Training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

What are the key skills and qualifications needed to thrive in the Data Science Training position, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

How to become a data science trainer?

To become a data science trainer, one should have strong expertise in data analysis, machine learning, and programming languages like Python or R. Gaining relevant certifications, such as Certified Data Scientist, and developing teaching skills through workshops or courses can enhance credibility. Practical experience in data projects and familiarity with training methodologies are also important for effective instruction.
What are the most commonly searched types of Data Science Training jobs in Virginia? The most popular types of Data Science Training jobs in Virginia are:
What are popular job titles related to Data Science Training jobs in Virginia? For Data Science Training jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Virginia look for? The top searched job categories for Data Science Training jobs in Virginia are:
Data Science Training jobs near you
Senior Software Engineer / Data Scientist (Training Systems)

Senior Software Engineer / Data Scientist (Training Systems)

Leidos

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Posted 21 hours ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

55th of 426 rated business services

Job description

Leidos is seeking a hands-on Senior Software Engineer / Data Scientist to support the development of modern training, education, and mission-support applications for national security programs. This role combines applied data science, AI/ML integration, and modern software engineering to build scalable, interactive learning and training systems within classified environments.
This is an individual contributor role focused on execution and delivery. We are seeking a technical doer - someone who actively designs and builds production systems, contributes code daily, and works across the full application stack. The ideal candidate brings strong TypeScript and modern front-end development experience alongside practical AI/ML and data science skills that can be applied to operational training and education environments.
You will work closely with instructional designers, software engineers, mission stakeholders, analysts, and UX teams to create intelligent, data-driven learning platforms and operational training tools.
Primary Responsibilities
  • Design, develop, and maintain modern web-based training and learning applications
  • Build responsive, scalable, and accessible front-end applications using TypeScript and modern frameworks
  • Develop and integrate AI/ML-enabled capabilities into training and operational support systems
  • Apply data science and analytics techniques to support adaptive learning, user insights, performance analysis, and mission workflows
  • Collaborate with instructional designers and subject matter experts to translate learning objectives into interactive digital experiences
  • Integrate front-end systems with APIs, backend services, AI/ML pipelines, and enterprise platforms
  • Develop reusable UI components, visualizations, and workflows supporting scalable training ecosystems
  • Work with structured and unstructured data sources across enterprise and classified environments
  • Participate in the full software development lifecycle including architecture, implementation, testing, deployment, and sustainment
  • Support deployment and operationalization of AI/ML capabilities within production systems
  • Utilize modern AI-assisted development workflows and coding agents to accelerate software delivery, prototyping, testing, refactoring, and documentation
  • Apply contemporary engineering practices using AI-powered development tools while maintaining strong standards for code quality, security, maintainability, and testing
  • Evaluate and integrate emerging developer tooling and agentic engineering capabilities into team workflows and application development practices
  • Troubleshoot application, integration, and data-related issues across distributed environments
  • Contribute to software engineering standards, reusable frameworks, and development best practices
  • Stay current with emerging front-end, AI/ML, and learning technology trends

Basic Qualifications
  • Bachelor's degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering, or related technical field with 8+ years of relevant experience and 15+ years overall experience; additional experience may be considered in lieu of degree
  • Strong hands-on software engineering experience with TypeScript and modern front-end development
  • Experience with modern front-end frameworks such as React, Next.js, Angular, or Vue
  • Practical experience applying data science, analytics, or AI/ML techniques to real-world applications
  • Proficiency in Python and familiarity with common data science and machine learning libraries
  • Experience integrating applications with APIs, backend systems, and data services
  • Familiarity with AI/ML workflows including data preparation, model integration, inference pipelines, or analytics processing
  • Experience using modern AI-assisted software development tools and coding agents within professional engineering workflows
  • Familiarity with contemporary AI coding ecosystems and developer productivity tools such as Claude Code, OpenAI Codex, Cursor, OpenCode, GitHub Copilot, or similar platforms
  • Demonstrated ability to effectively leverage AI-assisted development while maintaining sound software engineering fundamentals, debugging practices, testing discipline, and secure coding standards
  • Strong understanding of modern software development practices including Git, CI/CD, automated testing, and agile methodologies
  • Demonstrated ability to independently design and implement production-ready technical solutions
  • Strong analytical, troubleshooting, and problem-solving skills
  • Strong written and verbal communication skills
  • Must hold an active TS/SCI clearance with Polygraph

Preferred Qualifications
  • Experience supporting training, education, simulation, or learning technology environments
  • Experience building intelligent tutoring systems, adaptive learning platforms, or analytics-driven training applications
  • Experience working with large language models (LLMs), generative AI, NLP, or AI-assisted user experiences
  • Familiarity with AI frameworks and ecosystems such as Hugging Face, LangChain, vector databases, or agentic AI frameworks
  • Experience developing applications using agentic or AI-accelerated software engineering workflows
  • Familiarity with AI-enabled developer tooling integrated into modern IDEs, terminals, and CI/CD environments
  • Experience evaluating, customizing, or operationalizing AI coding agents for enterprise or mission-focused development environments
  • Experience combining AI-assisted development with modern TypeScript, React, or full-stack application architectures
  • Experience with data visualization, interactive analytics, or dashboard development
  • Experience working with learning ecosystems or standards such as SCORM, xAPI, or LMS integrations
  • Familiarity with Node.js or full-stack application development
  • Experience deploying applications in cloud or enterprise environments
  • Experience modernizing legacy applications into modern web architectures
  • Experience supporting Department of Defense, Intelligence Community, or national security customers

Desired Candidate Profile
The ideal candidate is:
  • A builder and hands-on engineer first
  • Comfortable owning implementation from concept through deployment
  • Current on modern front-end and AI-assisted engineering practices
  • Equally comfortable working across UI, data, APIs, and AI integration layers
  • Interested in education, training, simulation, or mission learning environments
  • Able to balance speed, experimentation, and engineering discipline in production systems
  • Comfortable operating in modern AI-accelerated engineering environments where coding agents and AI-assisted workflows are part of day-to-day software development practices

Clearance Requirement
Active TS/SCI with Polygraph
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 11, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $154,050.00 - $278,475.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Leidos logo

About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

Social media

FacebookTwitter

View All Leidos Jobs

Apply