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Contract 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 ...

Actionable Outcomes

General Application

Melbourne, FL · Remote

$75K - $130K/yr

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

Devereux

Contracts Specialist

Orlando, FL

$22.50 - $25.65/hr

Manage contract tracking and related Excel spreadsheets * Maintain spreadsheets for Managed Care ... programming we provide - every day - for the individuals and families we serve, and other key ...

D.R. Horton, Inc

Land Acquisitioner

Palm Bay, FL

D.R. Horton, Inc., the largest homebuilder in the U.S. , was founded in 1978 and is a publicly ... Work with property owners, brokers, land developers, city officials and others to secure land.

D.R. Horton, Inc

Land Development Project Mgr

Tampa, FL

$94.50K - $122.40K/yr

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Develop contract scope of works and pay-scales for bidding * Assemble appropriate documents and ...

Lockheed Martin Corporation

The Program Plans and Requirements (PP&R) team is primarily a group of Project and Software ... contract requirements Support customer requests for detailed analyses, including What-Ifs, SWF ...

The Structures Company

Reliability Engineer

Orlando, FL · On-site

$46.11/hr

Contract (12 months with potential for extension) * Clearance: Active Secret to Start * Industry ... Experience with statistical tools (Minitab, R, Python) * Hands-on experience with hardware testing ...

campus4tech

Voice Engineer/Network engineer

Tampa, FL · On-site

Tampa, FL (Must be onsite) 1 Year Contract We are seeking a professional with advanced Cisco Voice ... A candidate with a CCNP R&S or CCNP Collaboration certification would likely be a good fit for this ...

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

AspectContract R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app development, data visualizationData manipulation, statistical analysis, reporting, Excel, SQL
Work EnvironmentProject-based, freelance or contract roles, tech-focused teamsFull-time or part-time, business or corporate settings
Industry UsageTech, healthcare, finance, research projects requiring interactive dashboardsBusiness intelligence, marketing, finance, operations analysis

Contract R Shiny Developers focus on building interactive web applications using R and Shiny, often on a project basis. Data Analysts analyze data sets, generate reports, and support decision-making. While both roles require data skills, the Developer role emphasizes app development and coding, whereas the Analyst role centers on data interpretation and reporting.

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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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