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Internship R Statistics Jobs in Seattle, WA (NOW HIRING)

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... R, and SQL/relational databases. * Familiarity with forecasting, optimization, and statistical ...

Associate Data Scientist

Seattle, WA · On-site

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... R, and SQL/relational databases. * Familiarity with forecasting, optimization, and statistical ...

Associate Data Scientist

Seattle, WA

$67K - $68K/yr

Experience (internship or 0-2 years) in a data science, analytics, or quantitative modeling role ... R, and SQL/relational databases. * Familiarity with forecasting, optimization, and statistical ...

Basic qualifications: * 8 years of professional non-internship marketing research experience ... Experience in analytical software (e.g., Q, R, SPSS, SAS, STATA, Excel Pivot Tables). * B2B market ...

... SQL, R and Python within an agreed upon deadline. * Collaborate with life sciences customers on ... Statistics * Regression * Propensity Score Matching * Kaplan-Meier Analyses * Survival Analyses

... SQL, R and Python within an agreed upon deadline. * Collaborate with life sciences customers on ... Statistics * Regression * Propensity Score Matching * Kaplan-Meier Analyses * Survival Analyses

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Showing results 1-20

Internship R Statistics information

See Seattle, WA salary details

$10

$19

$27

How much do internship r statistics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for internship r statistics in Seattle, WA is $19.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Statistics Intern, and why are they important?

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.

What are Internship R Statistics positions?

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 cities near Seattle, WA are hiring for Internship R Statistics jobs? Cities near Seattle, WA with the most Internship R Statistics job openings:
2026 Data Science Internship - United States, PhD or Masters Student

2026 Data Science Internship - United States, PhD or Masters Student

Amazon

Seattle, WA • On-site

$185K/yr

Full-time

Posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,817 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Do you have a passion for data? Are you matriculating in a Master's or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.
Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.
For more information on the Amazon Science community please visit https://www.amazon.science
BASIC QUALIFICATIONS
- Can relocate to where the internship is based
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience in data science, machine learning or data mining
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
PREFERRED QUALIFICATIONS
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US