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Internship R Statistics Jobs in Long Beach, CA (NOW HIRING)

... Internship, project, or coursework experience applying these tools to real business problems. Preferred : • Experience with R for statistical analysis or modeling. • Background or coursework in ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Perform basic statistical analysis and data mining to uncover trends, patterns, and insights ... Skills: * Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R)

Internship, project, or coursework experience applying these tools to real business problems. Preferred Qualifications * Experience with R for statistical analysis or modeling. * Background or ...

Bachelor's degree in an engineering discipline * 1+ years of professional or internship experience ... R for analysis on modeling dynamic systems * Proficiency with statistics, data analysis, cost ...

Work closely with M&R and Commercial team to manage and move chassis to fulfill lease opportunities ... Responsible for market research to identify current trends and use statistical and analytical tools ...

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Internship R Statistics information

See Long Beach, CA salary details

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How much do internship r statistics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship r statistics in Long Beach, CA is $18.20, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.24 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 Long Beach, CA? For Internship R Statistics jobs in Long Beach, CA, the most frequently searched job titles are:
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Infographic showing various Internship R Statistics job openings in Long Beach, CA as of August 2026, with employment types broken down into 54% Internship, and 46% Full Time. Highlights an 100% In-person job distribution, with an average salary of $37,848 per year, or $18.2 per hour.

Process Engineering Internship (Fall 2026)

Freeform

Los Angeles, CA • On-site

$35/hr

Other

Re-posted 28 days ago


Job description

PROCESS ENGINEERING INTERNSHIP (FALL 2026) 

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Process Engineering Intern at Freeform, you will help develop and refine novel processes for some of the world's most advanced metal 3D printing systems. You will work closely with experienced engineers to study complex, multi-physics behavior within the printing process, building a foundational understanding of the system and applying those insights to support the development of next-generation processes. You'll collaborate with mechanical, software, and simulation engineers to analyze large in-situ data sets and post-print material characteristics, contributing to rapid iteration and continuous improvement of the printing technology using data-driven and machine-learning-enabled approaches.

3D printing experience is not required to be successful here - we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities: 

  • Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
  • Execute experiments and analyze data to improve metal additive processes
  • Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
  • Assist in the development and implementation of tool qualification procedures

 Basic Qualifications: 

  • Currently pursuing Bachelor's degree in material science, physics, or similar engineering discipline
  • Experience with experimental design and statistical data analysis
  • Strong data analysis skills and ability to interpret important information from extremely large data sets
  • Experience with Python and/or MATLAB

Nice to Have: 

  • Undergraduate research experience in material science, physics, mechanical engineering
  • Process development experience from cutting edge industries such as semiconductor, solar, or displays
  • Experience with statistical data analysis software such as R, JMP, or Minitab
  • Passion for improving the state of metal 3D printing
  • Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it)
  • Strong communicator who collaborates across disciplines and proactively seeks support when needed
  • Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset
  • Strong work ethic with a refuse-to-fail mindset
  • Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement)

Location: 

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions 
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology 
  • Compensation and Benefits 
    • The compensation for this role: 
      • Engineering Intern/Undergraduate: $30/hour
      • Engineering Intern/Masters: $32.50/hour
      • Engineering Intern/PhD: $35/hour
    • Relocation assistance provided
    • Free daily catered lunch and dinner, and fully stocked kitchenette 
    • Casual dress, flexible work hours, and regular catered team building events 
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.