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Entry Level Ai Data Scientist Jobs in Virginia (NOW HIRING)

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ...

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ...

New

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ...

New

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ...

New

Position Summary Credence is seeking a highly motivated Entry-Level AI Software Engineer to join ... Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science ...

... AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... data science methodologies to solve complex customer problems, with strong proficiency in Python and experience working with modern AI/ML technologies and cloud-based environments. Job ...

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Data Scientist

Richmond, VA · On-site

$80 - $100/hr

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Data Scientist AI-Data Scientist-CoStar Group-Richmond, VA Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Experience with engineering AI solutions, including accessing Large Language Model (LLM) APIs, self ...

KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging ...

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Entry Level Ai Data Scientist information

What does an entry level AI data scientist do?

An Entry Level AI Data Scientist assists in collecting, cleaning, and analyzing data to help build and improve artificial intelligence models. They work closely with senior data scientists to implement machine learning algorithms, prepare datasets, and interpret results. Their responsibilities often include coding in languages like Python, working with data visualization tools, and learning about AI concepts and best practices. This role is ideal for individuals early in their data science careers who are eager to gain practical experience in AI-driven projects.

What typical projects might an entry level AI data scientist work on, and how do they contribute to the team?

As an entry-level AI data scientist, you will often be involved in supporting data collection, cleaning, and preprocessing tasks to ensure datasets are ready for model development. You'll also assist in building and evaluating machine learning models, often under the guidance of senior data scientists or engineers. Your work is crucial in providing the foundational analysis and insights that inform larger AI initiatives, and you'll regularly collaborate with cross-functional teams such as software developers, product managers, and business analysts to translate business needs into actionable data science solutions.

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

To thrive as an Entry Level AI Data Scientist, a solid grounding in mathematics, statistics, and programming (often with Python or R), alongside a relevant bachelor's or master's degree, is essential. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and cloud platforms is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help newcomers collaborate and translate data-driven insights for stakeholders. These skills enable data scientists to efficiently build models, interpret complex data, and contribute real value to business objectives.

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

AspectEntry Level Ai Data ScientistData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of AI/ML toolsBachelor's in Statistics, Math, or related field; proficiency in data visualization and SQL
Work EnvironmentDeveloping AI models, machine learning algorithms, programming in Python/RData cleaning, reporting, creating dashboards, analyzing datasets
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing sectors

Entry Level Ai Data Scientists focus on developing AI and machine learning models, requiring programming and AI-specific skills. Data Analysts primarily interpret data, create reports, and visualize information. While both roles analyze data, AI Data Scientists work more on building predictive models, whereas Data Analysts focus on descriptive analytics.

What are the most commonly searched types of Ai Data Scientist jobs in Virginia?

The most popular types of Ai Data Scientist jobs in Virginia are:

What are popular job titles related to Entry Level Ai Data Scientist jobs in Virginia?

For Entry Level Ai Data Scientist jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Scientist jobs in Virginia look for?

The top searched job categories for Entry Level Ai Data Scientist jobs in Virginia are:

What cities in Virginia are hiring for Entry Level Ai Data Scientist jobs?

Cities in Virginia with the most Entry Level Ai Data Scientist job openings:

Infographic showing various Entry Level Ai Data Scientist job openings in Virginia as of August 2026, with employment types broken down into 3% Internship, 88% Full Time, 3% Part Time, and 6% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution.

Entry-Level AI Software Engineer

Credence

Mclean, VA • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence is seeking a highly motivated Entry-Level AI Software Engineer to join our growing technology team. This is an exciting opportunity for a recent graduate or early-career professional who is passionate about artificial intelligence, software engineering, and emerging technologies.

In this role, you will work under the mentorship of senior engineers and AI practitioners to support the design, development, testing, and deployment of software and AI-driven solutions. You will gain hands-on experience with modern development tools, cloud technologies, data platforms, and machine learning concepts while contributing to mission-focused federal technology programs.

This role is ideal for individuals who are eager to learn, solve complex problems, and build innovative solutions that create measurable impact.

Responsibilities include, but are not limited to the duties listed below

  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data-driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.

Requirements

  • Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object-oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
Preferred Qualifications
  • Internship, research, co-op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Familiarity with Git and version control best practices.
  • Knowledge of APIs, databases, data processing, or cloud-native architectures.
  • Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Experience with Python-based development or AI/ML libraries through academic projects.
  • Active Security Clearance.
What We Offer
  • Meaningful work supporting federal missions that positively impact national security, public health, and global initiatives.
  • Hands-on mentorship from experienced software engineers, AI engineers, and technology leaders.
  • Exposure to cutting-edge technologies, including AI, cloud computing, data engineering, and automation.
  • Professional development, training, and certification opportunities.
  • Clear career growth pathways within a rapidly growing technology organization.

Salary Range: $90,000 - $110,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources