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Data Science Apprentice Jobs in Baltimore, MD (NOW HIRING)

Valspec

Senior MES Engineer

Baltimore, MD

$103K - $142K/yr

MES Implementation Engineer - Apprentice.io Tempo Life Sciences | Systems Integration / Consulting ... Support system integrations (equipment status, master data, lab/QMS/ERP touchpoints) in ...

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All JobsData Science Apprentice JobsData Science Apprentice Jobs in Baltimore, MD

Data Science Apprentice information

See Baltimore, MD salary details

$11

$22

$35

How much do data science apprentice jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data science apprentice in Baltimore, MD is $22.67, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $25.10 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 Baltimore, MD? The most popular types of Data Science jobs in Baltimore, MD are:
What are popular job titles related to Data Science Apprentice jobs in Baltimore, MD? For Data Science Apprentice jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Science Apprentice jobs in Baltimore, MD look for? The top searched job categories for Data Science Apprentice jobs in Baltimore, MD are:
Data Science Apprentice jobs near you
Infographic showing various Data Science Apprentice job openings in Baltimore, MD as of June 2026, with employment types broken down into 2% Internship, 35% Full Time, 48% Part Time, 2% Temporary, and 13% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $47,148 per year, or $22.7 per hour.
AI/Data Science Training/Curriculum Developer (DoD SkillBridge)

AI/Data Science Training/Curriculum Developer (DoD SkillBridge)

IntelliGenesis

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago

Job description

AI/Data Science Training Manager/Curriculum Developer (DoD SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus)
The DOD SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DOD SkillBridge connects transitioning service members with industry partners in real-world job experiences. More information can be found here: https://skillbridge.osd.mil/index.htm
Eligibility Requirements:
  • Meet all DoD SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship
Duration:
  • 90-180 days
Position Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You’ll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Position Requirements:
  • Must be a US Citizen
  • Active TS/SCI clearance/polygraph required
  • Must be able to report daily to Columbia, MD office
  • Strong understanding of IC mission, tools, and workflows
  • Experience in developing, modernizing, or delivering technical training
  • Familiarity with curriculum development methodologies and instructional systems design (ISD) principles
Minimum six (6) years of experience in one or more of the following fields:
  • Data Science / Data Analytics
  • Machine Learning / Artificial Intelligence
  • Signals Analysis
  • SIGINT Metadata Analysis
  • Cyber Threat Intelligence
  • Target Digital Network Analysis
  • Digital Network Exploitation Analysis
  • Malware Analysis
  • Cloud-based Data Pipelines
  • Conducting Network Vulnerability Assessments
Ideal Candidates Come From the Following Military Occupational Skill Communities:
  • Air Force: 1N4, 3D0, 3D1
  • Marine Corps: 2611, 2629, 1721
  • Army: 17C, 170A, 35N, 352N
  • Navy: CTN, CTR, IW Officers
Desired Training or Certifications:
  • Master Training Specialist (MTS)
  • Common Faculty Development–Instructor Course (CFD-IC)
  • Army Basic Instructor Course (ABIC)
  • Air Force Basic Instructor Course (BIC)
  • Adjunct Faculty (ADET, NCS, NCU)
  • AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
  • Data Science Bootcamps or equivalent experience
Bonus Experience:
  • Familiarity with Jupyter Notebooks, Python, R, or SQL
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
  • Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)
This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
 

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Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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