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Data Science Apprentice Jobs in Hampton, VA (NOW HIRING)

ENGINEERING TECHNICIAN 4

Newport News, VA ยท On-site

$82K - $104K/yr

Gathers, maintains, formats, compiles, and manipulates technical data, such as laboratory or ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * High School/GED and 2 ...

Gathers, maintains, formats, compiles, and manipulates technical data, such as laboratory or ... NNS Apprentice School graduate * Navy Nuclear Power School (NNPS) graduate * High School/GED and 2 ...

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Data Science Apprentice information

See Hampton, VA salary details

$11

$22

$34

How much do data science apprentice jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science apprentice in Hampton, VA is $22.05, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $24.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science apprentice, and why are they important?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in data analysis, usually supported by relevant coursework or a degree in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is commonly expected. Curiosity, problem-solving ability, and effective communication help apprentices stand out by enabling them to learn quickly and convey complex findings clearly. Mastering these skills ensures you can contribute to data-driven projects and grow into more advanced roles in the field.

What is a data science apprentice?

A Data Science Apprentice is an entry-level professional who is learning the skills required to become a data scientist, often through a structured apprenticeship program. They work under the guidance of experienced data scientists to gain hands-on experience in analyzing data, building models, and using data science tools and techniques. Apprenticeships typically combine on-the-job training with classroom instruction, allowing apprentices to develop both practical and theoretical knowledge. The goal is to prepare apprentices for a full-time role in data science by the end of the program.

How do data science apprentices typically collaborate with senior data scientists and other departments?

As a Data Science Apprentice, you'll often work closely with senior data scientists through mentorship and project-based tasks. Collaboration usually involves assisting with data cleaning, exploratory analysis, and supporting model development under supervision. You'll also interact with team members from engineering, product, or business departments to understand project goals and present findings. This cross-functional teamwork helps you build both technical and communication skills, preparing you for more independent roles in the future.
What are the most commonly searched types of Data Science jobs in Hampton, VA? The most popular types of Data Science jobs in Hampton, VA are:
What job categories do people searching Data Science Apprentice jobs in Hampton, VA look for? The top searched job categories for Data Science Apprentice jobs in Hampton, VA are:
What cities near Hampton, VA are hiring for Data Science Apprentice jobs? Cities near Hampton, VA with the most Data Science Apprentice job openings:
Infographic showing various Data Science Apprentice job openings in Hampton, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,857 per year, or $22 per hour.

CANES SME Curriculum Developer (Job 1409)

DLH

Norfolk, VA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

About Us

DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools - including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. DLH is dedicated to the idea that "Your Mission is Our Passion" and brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions.

Overview

Ready to put yourย CANESย experience to work in a role that directly impacts fleet readiness? DLH is hiring aย CANES SMEย (Engineering Technician IV)ย to join our team onsite atย Naval Station Norfolk, supporting TACNET modernization through the development of training aligned to the latest CANES baseline. In this role, you will transform system updates, configuration changes, and fleet requirements into practical training products used across the Navy. Success requires strong shipboard network expertise, attention to detail, and the ability to translate real-world system administration experience into effective training.

Responsibilities

  • Review system updates and configuration changes to ensure the curriculum aligns with the latest CANES fleet baseline.
  • Develop, update, and maintain CANES and C4I courseware, lesson plans, student guides, presentation materials, and practical lab exercises.
  • Apply structured training development processes, including the Instructional System Design methodology, to define requirements and establish learning objectives.
  • Utilize Navy authoring tools such as CPM/LOM and AIM to develop and manage curriculum.
  • Ensure training materials accurately reflect real-world system administration practices and fleet operational standards.
  • Support pilot courses and fleet training events.
  • Evaluate training effectiveness and incorporate feedback to maintain technical accuracy and instructional quality.

Qualifications

This position is governed by Service Contract Labor Standards and must meet the minimum personnel qualification requirements identified in the contract.

    • Experience: Minimum of three (3) years of experience supporting one or more of the following Navy systems:
      • Tactical Network (TACNET)
      • Consolidated Afloat Networks and Enterprise Services (CANES)
      • Integrated Shipboard Network System (ISNS/COMPOSE)
      • Other comparable Navy Command, Control, Communications, Computers, and Intelligence (C4I) systems
    • Education/Technical Training: Must meet one of the following:
      • Associate's degree in Engineering Technology, Mathematics, Science, or another related technical field; or
      • Completion of formal electronics training from an accredited technical school, U.S. military Class A or Class B electronics/communications school, or a four-year electronics apprenticeship program; or
      • High School diploma or GED.
    • Overall Relevant Experience: In addition to the specialized C4I systems experience above, candidates must possess:
      • Five (5) years of professional engineering technician or electronics systems experience if qualifying with an Associate's degree or formal technical training (Completion of formal electronics training from an accredited technical school, U.S. military Class A or Class B electronics/communications school, or a four-year electronics apprenticeship program); or
      • Seven (7) years of professional engineering technician or electronics systems experience if qualifying with a High School diploma or GED.
  • Demonstrated experience in the design, development, testing, analysis, modification, and documentation of engineering systems, equipment, devices, or components, including preparation and modification of engineering drawings, specifications, procedures, and technical reports.
  • Experience analyzing technical data, developing design solutions, conducting and evaluating tests, troubleshooting equipment performance issues, and recommending or implementing design improvements.
  • Ability to read, interpret, and apply technical documentation to real-world systems or training content.
  • DoD 8570/8140 Cybersecurity workforce qualified within nine (9) months of hire date.
  • Active TS/SCI Clearance walking through the door.

Preferred Qualifications

  • Recent hands-on experience administering, maintaining, troubleshooting, or configuringย CANESย in an afloat U.S. Navy environment.
  • Recent Navy experience as an Information Systems Technician (IT), Information Warfare professional, or contractor directly supporting CANES, ISNS/COMPOSE, TACNET, or other afloat C4I systems.
  • Experience supporting fleet sustainment, Regional Maintenance Centers (RMCs), In-Service Engineering Activities (ISEAs), or similar Navy technical organizations.
  • Experience developing training materials, SOPs, technical guides, or configuration documentation.
  • Familiarity with Navy training development processes or structured curriculum development.
  • Experience with VMware, Red Hat Enterprise Linux (RHEL), Windows Server, Cisco networking, or related enterprise technologies.
  • Prior experience mentoring, training, or providing technical guidance to military, government, or contractor personnel in technical environments.

Benefits

DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD&D, short and long-term disability, flexible spending accounts, parental leave, legal services, and more. We want our employees to save for their future; therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions.