2

Remote R Shiny Developer Jobs in Weston, FL (NOW HIRING)

R is considered a plus as well. * Competency in data visualization using R, Python libraries ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

New

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

... engineer. As Lead, Offensive Security (AI & Tooling), you will own the in-house AI agent platform ... The Bigger Picture Join a 100% remote, highly specialized offensive security team where you will ...

Digital Product Design Senior Manager

Miami, FL ยท On-site +1

$121K - $159K/yr

Remote We Are: Accenture is helping enterprises reinvent their organizations and businesses ... Experience with the following programming languages: Python, C++, Java, R, SQL * Strong written ...

Bachelor's degree in Computer Science, Information Systems, Cyber Security, Engineering ... This compensation range is specific to a Remote role and takes into account the wide range of ...

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Sr. Director, National Procurement

Miami, FL ยท On-site +1

$208K - $286K/yr

Miami, FL (Hybrid 4 days onsite, 1 remote) About the Role Opendoor buys, renovates, and resells ... This person will own Procurement r strategy: consolidating fragmented local relationships into ...

Remote R Shiny Developer information

See Weston, FL salary details

$13

$46

$84

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

As of Jul 16, 2026, the average hourly pay for remote r shiny developer in Weston, FL is $46.93, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $64.04 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

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

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

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

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What cities near Weston, FL are hiring for Remote R Shiny Developer jobs? Cities near Weston, FL with the most Remote R Shiny Developer job openings:

Generative AI and ML Engineer

Seez

Fort Lauderdale, FL โ€ข On-site, Remote

Full-time

PTO

Posted 7 days ago

New


Job description

First things first: are you customer-obsessed? If the answer is yes, you might be a great fit for Seez.

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we've been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences. Our technology combines AI, data, and automation to power everything from intelligent vehicle discovery to next-generation conversational and generative AI tools.

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of research and real-world impact. This role is perfect for someone who loves experimenting with new technologies, solving complex problems, and building intelligent systems that shape the future of automotive retail.

JOB KEY RESPONSIBILITIESย 

  • Work closely with business analysts during the requirement definition stage to make sure the business requirements can be implemented in our platform.
  • Work day-to-day in a multi-functional team to build and extend machine learning libraries and frameworks to be used in scalable customer facing web applications.
  • Collaborate with software engineers, product managers, designers, and analysts.
  • Deliver testable, maintainable, and high-quality code.
  • Monitor, test, and continuously optimize our Machine Learning models.
  • Ensure that our user experience is the very best it can be.
  • Share knowledge, promote best practices, and collaborate with some of the best Machine Learning engineers in the company.
  • Collaborate with key internal stakeholders.
  • Employ impeccable analytical and problem-solving abilities to tackle complex challenges in the Machine Learning and AI domains.
  • Regularly update knowledge with the latest trends and developments in the machine learning industry.
  • Work effectively with minimal supervision and a proven ability to align data infrastructure with business goals.

Requirements

WHAT YOU'LL BRING TO THE PARTY (MUST HAVES)
  • Minimum 2 years work experience.ย 
  • Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.
  • Experience with open source LLMs and relevant hardware to host them.
  • Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential.
  • Skilled in API integration with various providers and enhancing customer experience.
  • Deep familiarity with data structures, data modeling, and software architecture.
  • Proficiency in Python and SQL. R is considered a plus as well.
  • Competency in data visualization using R, Python libraries, Tableau, PowerBI, or similar tools.
  • Proficiency in using version control tools such as Git.
  • Strong ability to understand business needs, data gathering, clear communication, and incorporating feedback.
  • Experience analyzing a feature in production using analytics and experiments.
  • Experience in applying machine learning models to solve real-world problems.
YOU'LL THRIVE IN THIS ROLE IF YOU'RE SOMEONE (GREAT-TO-HAVE)
  • Experience working in startups
  • Experience with cloud services such as AWS and Azure.
  • Knowledge of the automotive industry is a plus.
  • Experience with writing, releasing, and working in large distributed systems, deep learning or/and natural language processing is a big plus.
  • Understanding of the fundamentals of machine learning and NLP, with the ability to apply these principles to solve real-world problems, developments in Deep Learning and Language Modeling, especially Generative AI and Large Language Models.

Benefits

  • 25 days of paid annual leave plus public holidays
  • Flexible remote work options
  • Open door policy to CEO and all Leadership team
  • One-on-one wellness coaching sessions because your well-being matters.
  • An annual wellness budget to fuel whatever keeps you balanced-whether that's yoga, hiking, or visit to the museum.
  • An annual learning budget to power your growth-be it a new course, certification, or skill you've been eyeing
  • Regular team events, social calls, the best company SWAG, and a vibrant remote culture

WHY JOIN SEEZ?

At Seez, we're all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We've created a space where great work gets noticed, collaboration is second nature, and our values aren't just posters on the wall; they guide everything we do.

We're a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It's the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.