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

Power BI, Grafana), analysis tools (Python/R, Minitab, Excel, etc.), or discrete event modeling ... Proficiency with statistics, data analysis, cost/benefit analysis, and visualization * Experience ...

Power BI, Grafana), analysis tools (Python/R, Minitab, Excel, etc.), or discrete event modeling ... Proficiency with statistics, data analysis, cost/benefit analysis, and visualization * Experience ...

Actuarial Analyst - Remote

Bellevue, WA · On-site

$60K - $100K/yr

Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related ... internships, co-ops, or full-time employment. * Experience supporting administration system ...

Showing results 41-51

Internship R Statistics information

See Seattle, WA salary details

$10

$19

$27

How much do internship r statistics jobs pay per hour?

As of Aug 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?

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.
Infographic showing various Internship R Statistics job openings in Seattle, WA as of August 2026, with employment types broken down into 22% Internship, 67% Full Time, and 11% Part Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $40,963 per year, or $19.7 per hour.

Operations Engineer, Supply Chain (Starlink)

SpaceX

Redmond, WA

$115K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies


Job description

OPERATIONS ENGINEER, SUPPLY CHAIN (STARLINK)
 
As an Operations Engineer on the Starlink satellite team, you will drive improvement projects for our materials management and satellite supply chain organization to ensure that safety, reliability, and process capability goals are achieved, maintained, and improved. You will be a vital part of the relationship between our development, supply chain, and production teams. You will drive the design and development of new and existing processes and infrastructure to enable SpaceX to continue building and improving the world's most advanced satellite constellation.
 
RESPONSIBILITIES: 
  • Identify, plan, and execute capital equipment, machine, building/infrastructure, and layout upgrades specifically related to materials management to meet production and site demand
  • Manage material flow projects, and execute to tight timelines while effectively communicating with and influencing stakeholders 
  • Drive improvements to increase inventory, on-time delivery, reliability, and reduce waste
  • Anticipate and identify challenges within the satellite material flow and logistics value stream, determine root-cause failures, and develop appropriate solutions
  • Develop, standardize, and continuously improve key process indicators and other operations metrics
  • Pull and transform data to understand and communicate current activities, and build a business case for improvement efforts
  • Anticipate and identify challenges within the material flow and logistics value stream, determine root-cause failures, and develop appropriate solutions
  • Train inventory and receiving specialists, logistics team members, and leaders on best-in-class operations practices by driving process improvement workshops, providing training and information briefs on key topics, and demonstrating solutions
BASIC QUALIFICATIONS: 
  • Bachelor's degree in an engineering discipline
  • 1+ years of experience in manufacturing, supply chain, logistics, and/or inventory management (including school projects, clubs, or internships)
PREFERRED SKILLS AND EXPERIENCE:
  • Master's degree in engineering or supply chain
  • 1+ year of experience with CAD software, SQL, business intelligence tools (e.g. Power BI, Grafana), analysis tools (Python/R, Minitab, Excel, etc.), or discrete event modeling tools
  • Experience as an industrial, operations, quality, process, or manufacturing engineer in a manufacturing environment
  • Proficiency with statistics, data analysis, cost/benefit analysis, and visualization
  • Experience with inventory, production, and capacity planning (including MRP/ERP systems)
  • Proficient in identifying system enhancement opportunities, understanding end-user requirements, and the ability to translate requirement needs into design requirements
  • Experience with Lean, six sigma, and related production principles
  • Experience with data analytics
  • Strong communication skills and the ability to make presentations to engineering teams, internal customers, and leadership
ADDITIONAL REQUIREMENTS:
  • Willingness to work extended hours and weekends as needed
  • This position is based in Redmond, WA and requires being onsite

COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $100,000.00 - $135,000.00
Level 2: $115,000.00 - $165,000.00

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.

Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US