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Senior R Shiny Developer Jobs in Florida (NOW HIRING)

Clarity Innovations

Data Scientist

Tampa, FL · On-site

... R Shiny. Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. Perform data engineering, data ...

Actionable Outcomes

General Application

Melbourne, FL · On-site

$75K - $130K/yr

Familiarity with Python, R and other statistical tools is a plus Project Management skills we look ... Working knowledge of front-end programming, e.g. React, Angular, Shiny, Dash. * Professional ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL

We're looking for a Senior Data Developer to design and build scalable data integration solutions ... R.E. C ommitted - We build strong, high-trust relationships with our partners and each other. A ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL

We're looking for a Senior Data Developer to design and build scalable data integration solutions ... R.E. C ommitted - We build strong, high-trust relationships with our partners and each other. A ...

APCO Holdings

Senior Data Developer

Ponte Vedra, FL · On-site

We're looking for a Senior Data Developer to design and build scalable data integration solutions ... R.E. C ommitted - We build strong, high-trust relationships with our partners and each other. A ...

Workila

Sr. Quality Engineer

Fort Lauderdale, FL · On-site

$84.60K - $114.70K/yr

Gage R&R, CMM (Coordinate Measurement Machine) * Understanding of measurements methods DESCRIPTION OF DUTIES The Sr. Quality Engineer will ensure high level of compliance to FDA QSR/cGMPs and ISO ...

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Senior R Shiny Developer information

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.

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 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.

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Senior R Shiny Developer jobs near you
Data Scientist

Data Scientist

Clarity Innovations

Tampa, FL • On-site

Other

Posted 22 days ago

Job description

 
Role
This role is for a  Data Scientist on a close-knit team supporting a U.S. Special Operations Command program at MacDill AFB. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
 
Responsibilities

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline.  In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. 
Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.  They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Data Scientist shall perform the following tasks:
   Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
   Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
   Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
   Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
   Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. 
   Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
   Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. 
   Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. 
   Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. 
   Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
   Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Requirements
  • A minimum of 1 year of hands-on Data Science experience is required.
  • Bachelor's Degree in a STEM field is required.
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Proficient in Agile Development and Git operations 
  • A Top Secret Clearance with SCI eligibility is required 
  • Demonstrated ability to work in a fast-paced environment with evolving requirements
Preferred Qualifications
  • Familiarity with DoD
  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 

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