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Senior R Shiny Developer Jobs in Renton, WA (NOW HIRING)

Zen3 Infosolutions

Sr. Python Developer

Bellevue, WA · On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Zen3 Infosolutions

Sr. Python Developer

Bellevue, WA · On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Fresh Consulting

Senior Electrical Engineer

Bellevue, WA · On-site

$130K - $150K/yr

Senior Electrical Engineer Fresh Consulting is a design-led, software development and hardware ... Experience with design verification, gage R&R testing methodology. * Experience developing test ...

Fresh Consulting

Senior Electrical Engineer

Bellevue, WA · On-site

$130K - $150K/yr

Senior Electrical Engineer Fresh Consulting is a design-led, software development and hardware ... Experience with design verification, gage R&R testing methodology. * Experience developing test ...

DMC Recruitment

Senior Structural Engineer

Seattle, WA

$150K - $200K/yr

Title: Senior Structural Engineer Location: Seattle Compenasation: $150,000+ depending on ... Proficiency with Finite Element software (e.g., SAP2000, R-FEM, ETABS) and strong Excel skills for ...

CoreWeave

Senior Analytics Engineer

Bellevue, WA · On-site

$117K - $161K/yr

They are seeking a Senior Analytics Engineer to build and evolve the enterprise semantic layer ... R, or Julia). • Proven ability to translate complex data into trusted models, metrics, and ...

Geico

Senior Engineer

Seattle, WA · On-site

$100K - $215K/yr

... As a Senior Engineer, you will: * Design and Develop Systems: Architect, develop ... * DevOps Practices:UtilizeCI/CD pipelines, containerization (Docker), and orchestration ...

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Senior R Shiny Developer information

See Renton, WA salary details

$15

$61

$85

How much do senior r shiny developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for senior r shiny developer in Renton, WA is $61.73, according to ZipRecruiter salary data. Most workers in this role earn between $51.63 and $84.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior R Shiny Developer, and why are they important?

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

What are Senior R Shiny Developers?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

How does a Senior R Shiny Developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.
What job categories do people searching Senior R Shiny Developer jobs in Renton, WA look for? The top searched job categories for Senior R Shiny Developer jobs in Renton, WA are:
Senior R Shiny Developer jobs near you
Sr Data Scientist, GenAI Economics and Analytics

Sr Data Scientist, GenAI Economics and Analytics

Amazon

Seattle, WA • On-site

Full-time

Posted 27 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,968 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Alexa For Shopping (formerly Rufus) Analytics team is seeking a customer-obsessed Sr Data Scientist to own and drive analytics strategy for GenAI-powered Shopping experiences. This role will partner closely with senior leaders to deliver high-quality insights that inform executive decision-making for the AI shopping assistant, Alexa for shopping. Successful candidate will demonstrate strong attention to detail, excellent written and verbal communication, and the ability to influence across organizations.
In this role, you will mentor and set the bar for data science, economics, and engineering partners by establishing best practices for understanding customer behavior in AI-driven shopping experiences. You will invent and scale metrics that measure customer adoption and habituation, and build agentic, automated analytical workflows that enable fast, repeatable deep dives.
This position will play a critical role in shaping product roadmap and investment decisions in a rapidly evolving GenAI space. The ideal candidate will operate effectively in ambiguous environments, exercise strong business judgment on high-impact, one-way door decisions, and continuously raise the bar for analytical rigor and operational excellence. You will work cross-functionally with product, engineering, and economics partners to deliver results for customers
Key job responsibilities
- Own the development of customer and shopping-mission cohorts to understand behavior with and without Alexa for shopping engagement across the end-to-end shopping journey.
- Identify which query shapes and interaction patterns drive the most customer value for specific customer cohorts and shopping missions.
- Build predictive models to estimate customer re-engagement and long-term adoption of Rufus based on interaction quality and downstream shopping outcomes.
- Invent, operationalize, and publish scalable metrics and dashboards that surface actionable insights, enabling data-driven product growth and executive decision-making.
- Partner closely with Product, Engineering, and Economics teams to translate analytical insights into roadmap priorities and customer-focused improvements.
About the team
The Alexa for shopping Analytics team focuses on understanding how GenAI-powered shopping tools are transforming customer behavior across the shopping lifecycle - from inspiration and problem-solving, to product research, selection, purchase, and post-purchase support. We build the foundational measurement frameworks that enable teams to evaluate performance, identify what AI experiences resonate most with customers, and uncover opportunities for improvement. Our work directly influences customer-centric product roadmap decisions and helps scale impactful, high-quality AI shopping experiences
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
PREFERRED QUALIFICATIONS
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

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

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