Hire Top R developers with ultraGenius
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Hire only the best R developers among the 20K+ engineers who have applied to UltraGenius
Rishabh
FR developer
Rishabh is a software engineer having 7+ years of experience designing real-time statistical software using R programming language for stat and volatility modeling.
Expert in
R
Core Java
CSS
HTML
Experience
10 Years
Availability
Full Time
Mahesh
R developer
Mahesh is a software engineer having 3+ years of experience designing real-time statistical software using R programming language for stat and volatility modeling.
Expert in
R
Core Java
CSS
HTML
Experience
10 Years
Availability
Full Time
John
R developer
John is a software engineer having 10+ years of experience designing real-time statistical software using R programming language for stat and volatility modeling.
Expert in
Kafka
Core Java
CSS
HTML
Experience
10 Years
Availability
Full Time
Hire top talented R developers with UltraGenius
R is a high-level statistical programming language for Big data analysis and data science. R is developed to answer the problems of statistics, data science, machine learning and serves as a data analysis tool. R programming language also allows R developers to integrate with other programming languages such as C or C++. Using R, computing the “Measures of Central Tendency” has become much simpler.
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Want to hire R developers on your own? Here are the skills you must look for while hiring the best R developer
Hiring R developers might be an intricate task for you if you are a non-technical manager. R is a great statistical analysis tool to work with if the R developer. With the help of R, data visualization and manipulation, data predictive modelling and forecasting becomes much easier for R developers. But, hiring the most skilled R developers among several R developers is a challenging task for anyone. UltraGenius understands your job requirements and gets you only the top developers who are excellent R programmers.
The following skills you must look for while hiring a R developer –
Steadfast knowledge of R syntax and data structures
R developer should have conceptual knowledge working with R programming language. There are three ways of variable assignment in R – using equal to operator which copies data from right to left, using leftward operator which tells that data is stored from right to left, using rightward operator for copying data left to right. The R developer should also know about various data structures and their usages in R like Vectors, Matrices, Arrays, Lists, Data Frames, and Factors.
Familiarity with R's Condition Handling
Check whether the R developer knows about Error Handling and Condition Handling concept in R. There is a try() function which gives a R developer the ability to continue executing the code even if an error occurs in the program. If a failure occurs, then tryCatch() specifies what action should be taken by embedding the handler functions inside it which implement different logic.
withCallingHandlers() is another function which acts as an alternative for tryCatch(), only the difference is withCalling Handlers() registers the local handlers while tryCatch() establishes the existing handlers.
Experience using different packages of R programming language
A package is a way of storing sets of similar code and R functions. Each package performs a different role. Check if the developer knows difference between the library and package, as the former is a command used for loading a package and indicates the location where the package is stored on the computer. There are several packages namely dplyr package which provides a set of functions and tools for efficiently managing datasets in R, Shiny package for designing interactive applications, Grid and Lattice package for implementing graphical functions and develop circle, rectangle, histogram, bar graphs for representing the data.
Knowledge of Data Munging
R developers should have knowledge of data munging which is a very useful technique of transforming data from erroneous form / unusable form to usable form. The data is not ready for downstream computation if data munging is not performed up to a few extent. Data munging can be performed throgu hfollowing ways like plyr package, dplyr package, apply() family and aggregate() method.
Experienced in working with Version Control System (VCS)
R developers need to be conversant with various version control systems, like Git, SVN, TFS and Mercurial. They use Git for their work most of the time. It is a version control system that helps them collaborate and organize code to handle changes in codes or scripts as well as maintain good commit history on old codes. Along with this knowledge there are other skills like add/push/pull commands which allow developers to make changes independently on different branches; merging allows them to combine two separate branches without any conflicts at all.
Knowledge of lexical and dynamic scoping in R
Lexical or Static scoping in R tells that the value of any variable is searched in the environment in which the function is defined. When you define a function in the global environment, and is subsequently invoked from the invoking environment, then the calling and the defining environment becomes the same. This generates the concept of dynamic scoping. With the dynamic scoping, the variable is bound to the most recent assigned value.
Experience working with RStudio
RStudio is the popularly used Integrated Development Environment (IDE) for R programming language. RStudio includes a syntax highlighting text editor and a console which provides the feature of direct code execution. RStudio also has tools for plotting the data, analyze the history, debugging, and managing the workspace. R provides the interactive and implementive debuggers to determine, diagnose, and fix errors. With the help of RStudio, R developers can easily manage multiple working directories in a single project.
Experience working with Data Visualization
Data visualization is a technique used for representing the data graphically. The graphical representation can be in the form of Pie Chart, Bar Graph, Histogram, Scatter Plot, Heat Map, Correlogram, Box Plot, and Area Maps. Check if the developer knows about Choropleth Map, which is used in coloring and shading different areas according to the value of statistical variable represented in that map.
Knowledge of Database Design
R developers must have the knowledge of organizing data according to different data models and must know how to design a database. The developers must also aware of defining data model with YAML manually, extracting data models from R data frames, and facilitate the development and maintenance of data at a large scale. R developers must also be aware of data mining and data engineering.
Familiarity using databases and RMySQL
RMySQL is an interface for database and the MySQL driver for R programming language. Comprehensive R Archive Repository (CRAN) is the core official repository containing all the packages including RMySQL. Connecting to a database through RMySQL interface becomes much easier. Just R programmers need to install the RMySQL package and load the library.
install.packages(“RMySQL”)
library(RMySQL)
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Connect with the top 1% R developers of the world at the lowest prices
R is widely used in the realm of statistics and graphics. Banks often use R with Statistical Analysis System (SAS) software for bank data analysis and report writing. R is greatly used by research to predict the result of statistical analysis. But, hiring the R developers is not an easy task when a large number of R developers are trying to grab the job opportunities. So, here UltraGenius comes to assist you in hiring only the top 1% R developers among 20000 developers who have applied on our platform.
Top Interview Questions to ask while hiring a R developer
Frequently Asked Questions
UltraGenius is one of the leading platforms for hiring remote talent and connecting freelance and part-time developers with Silicon Valley businesses. We focus on finding the best talents who will perform extremely well and will be easily integrated into your teams. We filter out only the top 1% most skilled freelance developers among the 20K+ developers who have applied on our platform. Candidates have to prove their self-reported experience by giving Ultragenius’ s skill tests.
UltraGenius first tests the developer’s skill set by conducting a two and half hour hiring test. Our hiring test judges a candidate on all aspects like aptitude, case study analysis, verbal and reasoning, coding questions based on data structures and algorithms, software engineering, system design, and more. Then, there is another round for the candidates who are selected from this round called “Higher-level Assessment Skill Test”, which is a video round that deeply analyzes R developers’ major skills and asks questions about the projects they have worked upon.
Fill up the form which is on every hiring developers’ page and we will inform you once we select the top 1% R developers matching your job requirements. After analyzing the candidates based on their resumes and two assessment tests, we provide you the feedback quickly. And if the developers selected by our team are fit for your job role, then we also provide the onboarding.
UltraGenius offers you only the most skilled developers who are top 1% among the 20K+ developers who have applied on our platform. After a rigorous selection and testing process, we sort out only the top candidates for you. You can check out UltraGenius’ s selection process for hiring R developers on https://www.ultragenius.club/hire-r-freelancer/.
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