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Entry Level R Programming Jobs in Washington, DC

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Entry Level R Programming information

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How much do entry level r programming jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level r programming in Washington, DC is $30.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $26.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Entry Level R Programming position, and why are they important?

To thrive as an Entry Level R Programming professional, you should have a solid understanding of R programming fundamentals, data manipulation, and basic statistical analysis, often supported by a relevant degree in statistics, computer science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and data visualization packages (e.g., ggplot2) is commonly required; certifications in data analysis or R can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you work efficiently within a collaborative team environment. These competencies are crucial to accurately analyze data, provide actionable insights, and contribute effectively to projects from the outset.

What is an Entry Level R Programming job?

An Entry Level R Programming job is a position designed for beginners who use R for data analysis, statistical computing, and visualization. These roles are typically found in industries like finance, healthcare, and tech, where data-driven decision-making is crucial. Responsibilities may include cleaning datasets, writing basic R scripts, and generating reports or visualizations. Employers usually seek candidates with a degree in statistics, data science, or a related field, along with foundational knowledge of R and data manipulation libraries like dplyr and ggplot2.

What types of projects do entry-level R Programmers typically work on?

Entry-level R Programmers are often involved in supporting data analysis projects such as cleaning datasets, creating visualizations, building simple statistical models, and preparing reports for stakeholders. They commonly assist senior analysts or data scientists by conducting exploratory data analysis, automating repetitive data tasks, or updating existing R scripts. While responsibilities can vary by industry, close collaboration with team members and learning from more experienced colleagues are standard aspects of the role. This hands-on exposure provides an excellent foundation for developing deeper technical skills and advancing to more complex projects over time.

What are the most commonly searched types of R Programming jobs in Washington, DC? The most popular types of R Programming jobs in Washington, DC are:
What job categories do people searching Entry Level R Programming jobs in Washington, DC look for? The top searched job categories for Entry Level R Programming jobs in Washington, DC are:
Entry Level R Programming jobs near you
Infographic showing various Entry Level R Programming job openings in Washington, DC as of June 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 100% In-person job distribution, with an average salary of $62,966 per year, or $30.3 per hour.

Artificial Intelligence (AI) Assistant I

Starks Industries

Washington, DC • On-site

Full-time

Posted 3 hours ago

Job description

SUMMARY:
Entry-level Artificial Intelligence (AI) Assistant Level I supports artificial intelligence initiatives through data preparation, model testing, system monitoring, governance, risk, and compliance (GRC) support activities, and research. Supports AI adoption initiatives aligned with agency mission priorities, cybersecurity requirements, federal compliance mandates, and digital transformation objectives. Contributes to the development of ethical, secure, transparent, and responsible AI solutions consistent with federal AI frameworks, risk management principles, and organizational governance standards. Assists with continuous monitoring, documentation, audit readiness, and automation efforts supporting AI operational integrity and regulatory compliance.
KEY DUTIES and RESPONSIBILITIES:
  • Assist with data collection, cleansing, validation, and organization for AI and machine learning projects
  • Support the development, testing, and validation of AI models under the guidance of senior technical staff
  • Monitor AI systems and report performance issues, anomalies, security concerns, compliance deviations, or opportunities for improvement
  • Support GRC activities related to AI systems, data governance, cybersecurity, privacy, and operational controls
  • Assist in maintaining AI system documentation, inventories, risk registers, audit artifacts, and compliance tracking records
  • Participate in continuous monitoring activities for AI-enabled systems to support operational performance, cybersecurity posture, and regulatory compliance
  • Assist with implementing automated workflows, dashboards, alerts, and reporting mechanisms for AI operations and compliance monitoring
  • Conduct research on emerging AI tools, platforms, federal AI policies, cybersecurity standards, and industry best practices
  • Help document AI workflows, standard operating procedures (SOPs), governance processes, and technical procedures
  • Support internal stakeholders using AI-powered tools, automation platforms, and data-driven solutions
  • Collaborate with cross-functional teams including cybersecurity, compliance, legal, privacy, data governance, and IT operations personnel to integrate AI solutions into business operations
  • Assist in preparing reports, dashboards, presentations, and metrics related to AI initiatives, compliance activities, risk assessments, and operational performance
  • Support the identification, tracking, and mitigation of operational, cybersecurity, privacy, and AI model risks
  • Assists in the development, implementation, maintenance, and governance of AI-enabled solutions to improve operational efficiency, decision-making, automation, and data-driven outcomes
  • Support adherence to federal AI governance frameworks, cybersecurity standards, and agency compliance requirements

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Cybersecurity, Information Assurance, or a related discipline
  • 0-2 years of relevant experience (internships or academic projects acceptable)
  • Basic understanding of artificial intelligence, machine learning, data analytics, cybersecurity, or governance and compliance concepts

Preferred Skills & Competencies
  • Familiarity with programming languages such as Python, R, or Java Familiarity with programming languages such as Python, R, Java, or scripting tools used for automation
  • Exposure to data analysis tools (e.g., Excel, SQL, Power BI, Tableau, or similar platforms)
  • Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, or similar).
  • Familiarity with Governance, Risk, and Compliance (GRC) concepts, cybersecurity controls, or compliance monitoring processes
  • Exposure to automation, workflow orchestration, or monitoring tools used in IT or AI environments
  • Understanding of continuous monitoring principles, audit readiness, and operational reporting processes
  • Knowledge of federal IT environments, cloud platforms, AI governance frameworks, cybersecurity standards, or data governance policies
  • Familiarity with federal frameworks and standards such as NIST AI RMF, NIST CSF, RMF, FedRAMP, FISMA, or Zero Trust concepts.
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively in a team environment
  • Attention to detail and a strong commitment to quality and compliance
  • Experience supporting government clients or working in a regulated environment preferred

Required Knowledge, Skills, and Abilities (KSAs)
  • Foundational knowledge of AI/ML concepts, data analytics, governance, risk management, and statistical methods
  • Basic proficiency in programming languages such as Python, R, SQL, or similar technologies
  • Familiarity with data analysis and visualization tools (e.g., SQL, Excel, Power BI, Tableau, or equivalent)
  • Understanding of Governance, Risk, and Compliance (GRC) principles and continuous monitoring concepts
  • Ability to follow established procedures, security controls, governance standards, and federal compliance requirements
  • Knowledge of cybersecurity, privacy, and data protection principles in AI-enabled environments
  • Ability to identify, document, and escalate operational, compliance, or system risks
  • Strong analytical, organizational, and problem-solving skills
  • Effective written and verbal communication skills
  • Ability to support audit preparation, reporting, and documentation activities
  • Ability to work in a structured, compliance-driven, and mission-focused environment

Security Requirements
  • Ability to obtain and maintain a Public Trust or higher-level security clearance, as required by the contract

Supervision
  • Works under direct supervision with clearly defined guidelines. Receives technical guidance from senior AI, cybersecurity, compliance, governance, data, or engineering personnel.

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