As soon as you talk with us or fill our form, the first thing we do is analyze your company. We set up a call
We reach out to hundreds of candidates that we think might be a possible match for you. In 2 weeks, you’ll start reviewing people that match your requirements. We focus on providing you with 3-5 top candidates instead of giving you an endless list.
Once you select the candidate, we handle all the contracts and payments from day 1. We also take the legal steps required to protect your IP.
The best way to start is by identifying your needs and your current situation. If you need a temporary developer to work on a specific project or task, R freelancers are the suitable solution. While they are not as engaged and committed as a full-time developer, they can still be a good alternative for this type of situation.
But, keep in mind that in most freelancing sites, you still need to go over the entire vetting and testing process, which takes time.
On the other hand, if you’re looking to employ full-time R developers ready to join your team and embrace your company culture, the best option is to opt for remote candidates.
If you’re a non-technical manager, finding an R developer can get overwhelming. But, at DistantJob, we can take care of the hiring process from the start. We focus on vetting the best R developers, testing their expertise in diverse programming areas such as interacting dashboard designing with Shiny, predicting financial trends, visualization, machine learning models, and more.
Besides matching your company with R experts with exceptional technical skills, we focus on culture fit and aspects like English proficiency and time zones.
R consists of a programming language and a development environment used for statistical computing and graphic imaging.
Designed by Ross Ihaka in 1993, R is based on S, a statistical programming language.
R can be used for a wide range of tasks. Therefore, R programmers don’t fall only into one category. From statisticians focused primarily on analyzing statistics to data miners who transform raw data into valuable insights, R developers can specialize in various fields.
However, all R developers are familiar with how data is organized and can organize it and provide meaningful insights to companies.
Overall, the R environment includes:
Companies Using R:
R´s primary purpose is to make data more approachable and useable. Nowadays, Data is considered the new oil, as it provides companies and organizations with powerful insights into their different areas.
But to understand and manage all the data your business produces, you need the best R teammates.
R programmers are skilled in statistical computing and data analysis. If your business deals with a lot of data, hiring an R developer can be a great solution in research, data organization, data visualization, machine learning, and data science.
These are the general responsibilities to look in your new hire:
R is one of the best-paying programming languages. According to ZipRecruiter in the United States, the average salary of an R developer is $130,327 per year. Glassdoor reports an average yearly salary of $112, 637 for R Developers.
In South America, the salary of an R Developer is lower, mostly because of the cost of living. On average, ca earn between $83,000 and $100,00 per year.
In Eastern European countries, the rates are similar to South America. Most R programmers Earn between $78,000 to $95,000 per year.
R is a great tool to clean and organize large sets of data. It’s also useful to interpret and turn data into comprehensive graphs and visual elements to make it easier to understand.
R is compatible with programming languages like C++, Java, and Python. It’s also compatible with some database management systems.
CRAN – the Comprehensive R Archive Network, offers a repository with more than 10,000 packages.
R developers can build complex algorithms to continually predict future events thanks to R´s packages for automatization and machine learning.
R is able to create complex simulations and adapts to the performance capacity of your business. It can be used on high-performance clusters and even manage thousands of computer processors simultaneously.
R is a cross-platform programming language, it can run in diverse operating systems like Linux, iOS, and Windows.
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