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Entry Level Data Ai Jobs in Virginia (NOW HIRING)

ManTech International

Junior AI/ML Strategist

Arlington, VA · On-site

$98K - $163K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data & Process Analysis: Gather, analyze, and interpret data pipelines to identify process ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

Pattern Data

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage ...

Pattern Data

Software Engineer (Entry)

Richmond, VA · On-site

$90K - $115K/yr

Who We Are Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage ...

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Entry Level Data Ai information

Can I get an entry level data AI job with no experience?

Entry level data AI positions often require some foundational knowledge of programming, data analysis, and machine learning tools, but many employers are willing to consider candidates with limited experience if they demonstrate strong problem-solving skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or personal projects can improve your chances of securing such roles. Internships or entry-level positions may also serve as stepping stones into the field.

What is the difference between Entry Level Data Ai vs Data Analyst?

AspectEntry Level Data AiData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of AI/ML toolsBachelor's in Statistics, Data Science, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, startups, AI-focused teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in tech and AI development sectorsAcross multiple industries for data-driven decision making
Common Search & Comparison IntentUnderstanding entry-level roles in AIUnderstanding entry-level data analysis roles

Entry Level Data Ai roles focus on foundational AI and machine learning skills, often in tech environments, while Data Analyst roles emphasize data interpretation and visualization across various industries. Both roles require a strong analytical background but differ in technical focus and industry application.

What entry-level jobs are there working with AI?

Entry-level jobs working with AI include roles such as AI support technician, data annotation specialist, and junior machine learning engineer. These positions often require basic programming skills, familiarity with AI tools like Python or TensorFlow, and a foundational understanding of data analysis. They provide opportunities to gain experience in AI development, data labeling, and model testing.

What is an entry level data AI?

Entry level data AI jobs are positions designed for individuals who are new to the field of artificial intelligence and data science. These roles often involve tasks such as data cleaning, basic data analysis, building simple machine learning models, and assisting senior team members with AI projects. Candidates typically need foundational skills in programming (like Python), basic statistics, and familiarity with AI concepts. Entry level roles may include job titles like Data Analyst, Junior Data Scientist, or AI Research Assistant. These positions provide an excellent starting point for building a career in the rapidly evolving field of data and AI.

What kind of projects and tasks can I expect to work on as an entry level data AI professional?

As an Entry Level Data AI professional, you can expect to support data collection, data cleaning, and pre-processing activities, as well as assist in building and testing simple machine learning models. You'll often work closely with data scientists and engineers, collaborating on projects that involve analyzing datasets, generating reports, and helping automate data pipelines. This role provides a strong foundation in both technical and collaborative skills, and you’ll have opportunities to learn from more experienced team members while gradually taking on more complex tasks as your skills develop.

What are the key skills and qualifications needed to thrive as an entry level data AI professional, and why are they important?

To thrive as an Entry Level Data AI professional, you need a foundational understanding of data analysis, statistics, and programming languages like Python or R, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and SQL databases is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret findings and collaborate with team members. These skills ensure you can process and analyze data effectively, contribute to AI projects, and drive actionable insights in a technology-driven environment.
What are the most commonly searched types of Data Ai jobs in Virginia? The most popular types of Data Ai jobs in Virginia are:
What are popular job titles related to Entry Level Data Ai jobs in Virginia? For Entry Level Data Ai jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Ai jobs in Virginia look for? The top searched job categories for Entry Level Data Ai jobs in Virginia are:
Entry Level Data Ai jobs near you
Infographic showing various Entry Level Data Ai job openings in Virginia as of August 2026, with employment types broken down into 66% Full Time, and 34% Part Time. Highlights an 100% In-person job distribution.

Junior AI/ML Strategist with Security Clearance

MANTECH

Arlington, VA • On-site

Other

Re-posted 5 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

32nd of 243 rated software companies

Job description

MANTECH seeks a motivated, career, and client-oriented Junior AI/ML Strategist to join our team in Arlington, VA. This is a Hybrid position. Responsibilities include but are not limited to: * Framework Support: Assist in deploying and maintaining enterprise-level governance frameworks for AI/ML models, helping track model ownership and structured approval workflows.
* Documentation & Inventory: Maintain comprehensive model inventories, standards registries, and functional technical documentation.
* Data & Process Analysis: Gather, analyze, and interpret data pipelines to identify process inefficiencies and support basic requirement-gathering tasks.
* Performance Tracking: Monitor key performance indicators (KPIs) to measure the real-world effectiveness of deployed solutions and system updates.
* Cross-Functional Coordination: Collaborate with engineering, data, and compliance teams to ensure client deliverables align with structured project timelines.
* Change Management Tracking: Support stakeholder change management initiatives by preparing reports and presentations that track user training and the adoption of responsible AI practices.
* Value Documentation: Assist in collecting pre- and post-implementation facts to help document the technical ROI and build business cases for expanded client capabilities. Minimum Qualifications: * Bachelor's Degree in Business, Computer Science, Data Science, Information Systems, or a related technical field. Master's degree preferred.
* 0-2+ years of experience in an operational, analytical, or technical project support role.
* Strong analytical and organizational skills with an ability to interpret technical requirements and map out complex business processes.
* Proven ability to communicate technical concepts clearly and accurately within a team environment. Preferred Qualifications: * Foundational Security & Cloud: Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials. Clearance Requirements: * US Citizenship is required.
* Must possess an active Secret with eligibility for Top Secret / TS/SCI clearance.
Physical Requirements: * Must be able to remain in a stationary position 50% of the time.
* Must be able to communicate, converse, and exchange information with peers and senior personnel.
* Constantly operates a computer and other office productivity machinery, such as a computer.

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