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Data Science Training Jobs in Virginia (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

TULK llc.

Data Science SME Mid

Springfield, VA · On-site

$115K - $157K/yr

Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Capital One

Manager, Data Science

Mclean, VA · On-site

Manager, Data Science Data is at the center of everything we do. As a startup, we disrupted the ... Build machine learning models through all phases of development, from design through training ...

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

NATO

Staff Officer (Data Science)

Norfolk, VA · On-site

... training in that discipline leading to a professional qualification or professional accreditation with 6 years post related. Minimum of 4 years post-related experience relating to data science ...

NATO

Staff Officer (Data Science)

Norfolk, VA

... training in that discipline leading to a professional qualification or professional accreditation with 6 years post related. Minimum of 4 years post-related experience relating to data science ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... You will help deliver, maintain, and improve training that supports how GEOINT professionals solve ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

$138K - $221K/yr

Apply advanced data science techniques across the full model lifecycle ... Design, training, evaluation, validation, deployment, and monitoring * Analyze large-scale, complex ...

Carmax

Senior Manager, Data Science

Richmond, VA · On-site

Apply advanced data science techniques across the full model lifecycle ... Design, training, evaluation, validation, deployment, and monitoring * Analyze large-scale, complex ...

TULK llc.

Data Science SME Lead

Springfield, VA · On-site

$120K - $189K/yr

Data Science SME Lead Full Time Springfield, VA, US 30+ days ago Requisition ID: 1762 Salary Range ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Training or fine-tuning LLMs * Experience with Machine Learning, including * * Feature selection ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Training or fine-tuning LLMs * Experience with Machine Learning, including * * Feature selection ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

Data Science SME Lead TULK supports U.S. national security customers with cleared experts who ... Deliver GEOINT tradecraft learning in classroom, virtual, and mobile training environments. * Help ...

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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 Sep 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 data science training?

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 data science training, 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 do I get a job in data science training with no experience?

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your abilities to employers.

What training do you need to be a data science training?

To become a data science trainer, you typically need a strong background in data science, including skills in programming languages like Python or R, statistical analysis, and machine learning. Relevant certifications, such as Certified Data Scientist or specialized training programs, can enhance credibility, and experience with data tools and platforms is often required. Continuous learning and staying updated with industry trends are also important for effective training.

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
Infographic showing various Data Science Training job openings in Virginia as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $101,124 per year, or $48.6 per hour.

Data Science

Norfolk, VA • On-site

Altagrove LLC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Altagrove LLCexternal

Full-time

Re-posted 10 days ago

Job description

Who we are:


Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.


Follow us at - https://www.linkedin.com/company/altagrove


What you will do:


  • Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
  • Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
  • Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
  • Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
  • Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
  • Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
  • Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
  • Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
  • Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
  • Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
  • Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
  • Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
  • Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
  • Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.


What you will bring:


  • Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
  • Strong proficiency in Python and experience with modern data science and engineering frameworks.
  • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
  • Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
  • Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
  • Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
  • Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
  • Understanding of data governance, metadata management, data quality, security, and compliance principles.
  • Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively across multidisciplinary engineering and mission teams.
  • Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
  • Active Secret Clearance required; TS/SCI or NATO Secret preferred.
  • Exceptional attention to detail and organizational skills.