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Freelance R Programming Language Jobs in Los Angeles, CA

Senior Quantitative Analyst

Pasadena, CA ยท On-site

$100K - $165K/yr

Proficiency with R or similar programming language. Proficiency with Microsoft Office tools. * Strong verbal and written communication skills. * 4+ years of relevant working experience preferred.

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Advanced proficiency with SQL and at least one analytic programming language (e.g., Python or R). Strong Excel skills (pivot tables, Power Query, advanced formulas) Strong experience building ...

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Freelance R Programming Language information

See Los Angeles, CA salary details

$16

$51

$142

How much do freelance r programming language jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for freelance r programming language in Los Angeles, CA is $51.40, according to ZipRecruiter salary data. Most workers in this role earn between $26.15 and $66.59 per hour, depending on experience, location, and employer.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Their skills in data visualization, statistical modeling, and familiarity with tools like RStudio make them valuable for data-driven decision-making and analytics projects.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What jobs use R coding?

Jobs that use R coding include data analyst, data scientist, statistical programmer, and research analyst roles. These positions often require skills in data visualization, statistical modeling, and data manipulation, and are common in industries like healthcare, finance, and academia.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Many organizations and research institutions continue to rely on R for data science roles, and it is supported by a large community and extensive packages, making it relevant for freelance R programming jobs.

What are the key skills and qualifications needed to thrive as a Freelance R Programmer, and why are they important?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

Can you make 10k a month freelancing?

Freelance R programming can potentially generate $10,000 or more per month, especially with high-demand skills, a strong portfolio, and consistent client work. Earnings depend on experience, project complexity, and the ability to secure multiple clients or long-term contracts, often requiring advanced knowledge of data analysis, statistical modeling, and tools like RStudio.

What is the difference between Freelance R Programming Language vs Data Analyst?

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

What are popular job titles related to Freelance R Programming Language jobs in Los Angeles, CA? For Freelance R Programming Language jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Freelance R Programming Language jobs in Los Angeles, CA look for? The top searched job categories for Freelance R Programming Language jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Freelance R Programming Language jobs? Cities near Los Angeles, CA with the most Freelance R Programming Language job openings:
Infographic showing various Freelance R Programming Language job openings in Los Angeles, CA as of July 2026, with employment types broken down into 33% Full Time, 38% Part Time, 1% Temporary, 18% Contract, 9% Nights, and 1% Summer. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $106,922 per year, or $51.4 per hour.
Senior Quantitative Analyst

Senior Quantitative Analyst

East West Bank

Pasadena, CA โ€ข On-site

$100K - $165K/yr

Full-time

Re-posted 2 days ago


Job description

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associatesโ€™ potential for career advancement. 

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.


We are seeking a Senior Quantitative Analyst within the Model and Allowance Analysis team.


  • Participate in developing and implementing credit risk models for the use of CECL (develop, test, document, implement, monitor, and communicate).
  • Assemble, compile, and analyze data; resolve data errors/inconsistencies from source systems.
  • Conduct quantitative analysis as it applies to key business areas or specific types of models.
  • Conduct independent research to effectively challenge the modelโ€™s conceptual soundness, assumptions, and appropriateness of model methodology.
  • Collaborate with business groups to ensure the quantitative models address the business concerns.
  • Support ad hoc data analyses.
  • Provide written or verbal communication to internal and external stakeholders conveying the results of research and analysis.
  • May perform other duties as assigned

  • Advanced Degree in Statistics, Applied Mathematics, Economics, Finance or other quantitative disciplines.
  • Practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies.
  • Strong quantitative analytical skills including a good understanding of CECL, stress testing, credit risk, financial risk, and their processes.
  • Excellent team player with proven ability to work independently in a collaborative setting within a dynamic work environment.
  • Proficiency with R or similar programming language. Proficiency with Microsoft Office tools.
  • Strong verbal and written communication skills.
  • 4+ years of relevant working experience preferred.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.


The base pay range for this position is USD $100,000.00/Yr. - USD $165,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.