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Internship R Statistics Jobs in Washington, DC (NOW HIRING)

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... R, SQL, CUDA, Hadoop, and Spark * Experience with Dataiku's Data Science Studio Additional ...

QxBranch

Data Scientist QxBranch

Washington, DC

Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ... R, SQL, CUDA, Hadoop, and Spark * Experience with Dataiku's Data Science Studio Additional ...

Geico

Pricing Analyst II

Bethesda, MD

$51K - $115K/yr

Develop and prepare statistical analyses of underwriting and claims experience that serve as the ... Proficiency with data analysis software such as R, SAS, SQL, Python, Power BI, or similar tools.

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All JobsR Statistics JobsInternship R Statistics JobsInternship R Statistics Jobs in Washington, DC

Internship R Statistics information

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$10

$19

$26

How much do internship r statistics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for internship r statistics in Washington, DC is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Statistics intern?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize tools like R, Python, or SQL. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with statistical modeling and data visualization. These opportunities often require strong analytical skills and may lead to full-time positions in data science or analytics.

What is an internship R Statistics position?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.
What are popular job titles related to Internship R Statistics jobs in Washington, DC? For Internship R Statistics jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Internship R Statistics jobs in Washington, DC look for? The top searched job categories for Internship R Statistics jobs in Washington, DC are:
Internship R Statistics jobs near you
Infographic showing various Internship R Statistics job openings in Washington, DC as of August 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 100% In-person job distribution, with an average salary of $40,767 per year, or $19.6 per hour.

Senior Data Scientist (Membership Analytics)

Navy Federal

Vienna, VA • On-site

$99.40 - $155.85/hr

Other

Posted 3 days ago

New

Job description

Senior Data Scientist (Membership Analytics)

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Trending

Job Description

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must beauthorized to work in the United States without the need for current or future sponsorship.

Responsibilities
  • Design, develop, and evaluate moderately complex predictive models and advanced algorithms
  • Identifies meaningful insights from large data and metadata sources
  • Test hypotheses/models, analyze, and interpret results
  • Exercise sound judgment and discretion within defined procedures and practices
  • Develop and code moderately complex software programs, algorithms, and automated processes
  • Use modeling and trend analysis to analyze data and provide insights
  • Develop understanding of best practices and ethical AI
  • Transform data into charts, tables, or format that aids effective decision making
  • Build working relationships with team members and subject matter experts
  • Lead small projects and initiatives
  • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
Qualifications
  • 3-5 years of experience in exploratory data analysis
  • Basic understanding of business and operating environment
  • Statistics
  • Programming, data modeling, simulation, and advanced mathematics
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Working knowledge of procedures, instructions, and validation techniques
  • Communication
  • Critical Thinking
  • Collaborate and Build Relationships
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Sound Judgment
  • Problem Solving (Responds as problems and issues are identified)
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualifications
  • Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Additional InformationHours:
  • Monday - Friday, 8:00AM - 4:30PM
Location:About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

Our approach to careers is simple yet powerful: Make our mission your passion.

  • FORTUNE100 Best Companies to Work For® 2026
  • Yello and WayUp Top 100 Internship Programs 2025
  • Computerworld® Best Places to Work in IT 2026
  • Most Loved Workplace - America's Top Most Loved Workplaces® 2025
  • Newsweek Most Trustworthy Companies in America 2026
  • Military Times 2025 Best for Vets Employers
  • Forbes® 2026 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2026 Handshake Early Talent Award
  • Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026

All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.

Accommodations:

If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013 . This team cannot provide any information on job postings or application status.

Disclaimers:

Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review theBenefits page of the Navy Federal Career Site.

Protect Yourself from Job Scams:

Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.

Bank Secrecy Act:

Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

Job Info
  • Job Identification 31391
  • Job Category Data Scientist
  • Posting Date 07/24/2026, 04:33 PM
  • Apply Before 08/08/2026, 03:59 AM
  • Degree Level No Formal Education
  • Job Schedule Full time
  • Job Shift Regular Hours
  • Targeted Salary Range $99,400 - $155,850 annually
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