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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 ...

Leidos

Data Scientist

Arlington, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Woodbridge, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Reston, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Herndon, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Burke, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Arlington, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Woodbridge, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Fairfax, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Dumfries, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Alexandria, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Alexandria, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Falls Church, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Centreville, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Lorton, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

Leidos

Data Scientist

Herndon, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

Leidos

Data Scientist

Manassas, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and ... model training, testing, deployment, monitoring, and lifecycle management. * Apply advanced ...

New

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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 Jul 2, 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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

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.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

Can I get a job after learning data science?

Data science is a growing field with many job opportunities for those who acquire relevant skills such as programming, statistics, and data analysis tools like Python or R. Completing a data science training program can improve your chances of securing roles such as data analyst or data scientist, but employment also depends on experience, portfolio, and industry demand.
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
Data Scientist

Data Scientist

Cmu

Arlington, VA

Full-time

Posted 23 days ago

Job description


What We Do:

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you!
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 or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with two (2) years of experience.
  • Willingness to complete modest travel to various locations to support the SEI's overall mission.
  • You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance.

Knowledge, Skills and Abilities:

  • Experience in predictive modeling, data science, and/or AI & machine learning
  • Deep understanding of statistical modeling techniques and advanced data analytics
  • Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
  • Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
  • Strong communication skills
  • Expertise in one or more of the following:
  • Recommendation systems
  • Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
  • NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
  • Causal inference / uplift modeling / synthetic controls
  • Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
  • LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
  • Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
  • Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks)

Desired Experience:

  • Experience in cybersecurity and privacy is a plus is a plus
  • Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
  • Demonstrated ability to learn new concepts and grow into new areas of work

Location

Arlington, VA, Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff - Regular

Full time/Part time

Full time

Pay Basis

SalaryMore Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

CMU logo

About CMU

Sourced by ZipRecruiter

Industry

Offices of mental health practitioners

Company size

201 - 500 Employees

Headquarters location

Harrisburg, PA, US

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