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Senior R Shiny Developer Jobs in Florida (NOW HIRING)

Operations Research Analyst

Tampa, FL · On-site

$93K - $110K/yr

Employing analytic and operational design methodologies to frame complex problems to help senior ... Proficiency in programming using R or Python (NumPy, SciPy, Pandas) and using data visualization ...

Employing analytic and operational design methodologies to frame complex problems to help senior ... Proficiency in programming using R or Python (NumPy, SciPy, Pandas) and using data visualization ...

To support this mission, we are seeking a Senior Data Scientist to support the United States ... Proficiency in functional programming languages such as Python, R, or Scala. * Strong experience ...

To support this mission, we are seeking a Senior Data Scientist to support the United States ... Proficiency in functional programming languages such as Python, R, or Scala. * Strong experience ...

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 ...

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 ...

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 ...

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 ...

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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.

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 are the most commonly searched types of R Shiny Developer jobs in Florida? The most popular types of R Shiny Developer jobs in Florida are:
What are popular job titles related to Senior R Shiny Developer jobs in Florida? For Senior R Shiny Developer jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Senior R Shiny Developer jobs? Cities in Florida with the most Senior R Shiny Developer job openings:
Operations Research Analyst with Security Clearance

Operations Research Analyst with Security Clearance

MANTECH

Tampa, FL • On-site

$93K - $110K/yr

Other

Re-posted 8 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Operations Research Analyst to join our team in Tampa, FL. The Operations Research Analyst will leverage their strong technical background and knowledge to introduce quantitative and qualitative analysis to the decision-making processes by developing and applying probability models, statistical inference, simulations, optimizations, and economic models. Responsibilities include but are not limited to: * Using statistical analysis, simulations, predictive modeling, and other methods to analyze information in support of USSOCOM processes and decision-making.
* Employing analytic and operational design methodologies to frame complex problems to help senior military and civilian leaders develop solutions and strategies.
* Providing analytical support involving mathematical modeling, statistical methods, and operational mathematics techniques such as game theory and probability theory.
* Transforming raw data into information and recommendations by gathering and identifying data variables within models using qualitative and quantitative tests.
* Researching, designing, and implementing algorithms to solve complex problems while programming in R, Python, or similar analytical languages.
* Using frameworks such as Spark and Hadoop to conduct large-scale data processing and creating data visualizations using Tableau, Power BI, or R Shiny.
* Applying systems thinking and value-focused thinking to facilitate clear force employment and resourcing decisions across tactical, operational, and strategic levels.
* Conducting and supporting studies, war-games, and modeling efforts to assist decision makers in framing and solving complex problems.
* Refining and developing methods to display data and findings to facilitate senior leaders quickly grasping key findings from analytic work. Minimum Qualifications: * Master's Degree in Operations Research, Applied Mathematics, Industrial Engineering, Statistics, or related math discipline; OR a Bachelor's Degree in the same fields with 4 years of experience in Operations Research and Analysis in military matters.
* 5+ years of experience preparing written products for senior leader use and communicating at all levels in a highly professional manner.
* Experience conducting both quantitative and qualitative analysis and applying scientific methodology to discover and frame relevant problems.
* Proficiency in programming using R or Python (NumPy, SciPy, Pandas) and using data visualization tools. Preferred Qualifications: * Experience with the Sponsor's primary cyber risk and compliance automation tools. Clearance Requirements: * An active Secret clearance is required with the ability to obtain and maintain TS/SCI Physical Requirements: * Must be able to remain in a stationary position 50%.
* Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
* Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
* Must be able to exchange accurate information in these situations.

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