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Freelance R Shiny Developer Jobs in California (NOW HIRING)

... programming language (e.g Python, R) * Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker ...

... programming language (e.g Python, R) * Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$205K - $235K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Experience at a creative agency, studio, or in-house brand team (MediaMonks, R/GA, Active Theory ... freelance client work). Not a fit if * You're a sales engineer looking for the next sales engineer ...

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members • Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Python or R for lightweight analysis * Familiarity with subscriber/churn analytics or media ... freelancers - which sets us apart in the industries we serve. About Solomon Page Founded in 1990 ...

Senior Scientist, Bio AI

Redwood City, CA · On-site

$112K - $153K/yr

Shiny apps) for routine data analysis (e.g. RNAseq profiling) for team members * Perform routine ... GCP) with appropriate engineering adaptations as needed. Help develop and work within budgets for ...

Showing results 21-36

Freelance R Shiny Developer information

What is a freelance R Shiny developer?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a freelance R Shiny developer?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.

What is the difference between Freelance R Shiny Developer vs Data Analyst?

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the most commonly searched types of R Shiny Developer jobs in California?

The most popular types of R Shiny Developer jobs in California are:

What are popular job titles related to Freelance R Shiny Developer jobs in California?

For Freelance R Shiny Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Freelance R Shiny Developer jobs in California look for?

The top searched job categories for Freelance R Shiny Developer jobs in California are:

What cities in California are hiring for Freelance R Shiny Developer jobs?

Cities in California with the most Freelance R Shiny Developer job openings:

Infographic showing various Freelance R Shiny Developer job openings in California as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Principal Data Scientist

Atlassian

San Francisco, CA • On-site, Remote

Other

Posted 6 days ago


Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Your future team
You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.
Responsibilities
In this role, you will:
  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work.
  • Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
  • Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
  • Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends.
  • You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
  • You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $206,100 - $269,075
Zone B: $185,490 - $242,168
Zone C: $171,063 - $223,332
Qualifications
Minimum Qualifications / Your background:
  • 8+ Years of Experience in Data Science or related fields
  • Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
  • Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
  • Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
  • Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
  • A proven track record for crafting analysis into well-written content
  • Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications:
  • 10+ Years of Experience in Data Science or related fields
  • An understanding of the SaaS business model and key metrics

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.