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Sai

Sai

Data Engineer

Experience3 years
AvailabilityFull-time

Sai has 3+ years of experience in software development. He has worked on technologies such as CI/CD, MongoDB, Docker, Java, data extraction, etc.

Expert in
  • Data Engineering
  • MongoDB
  • Docker
  • Java
  • Data Extraction
Also worked with
  • PHP
  • SQL
  • Kubernetes
  • Data Science
Vivek

Vivek

Data Engineer

Experience3 years
AvailabilityFull-time

Vivek is a data science enthusiast with 3+ years of experience. He has a strong background in mathematics, statistics, and computer science.

Expert in
  • Data Engineering
  • SQL
  • Python
  • MATLAB
  • AWS
Also worked with
  • Deep Learning
  • Ansible
  • Microservices
  • Spark
Lukas

Lukas

R Developer

Experience7 years
AvailabilityFull-time

Lukas is an experienced professional with a demonstrated experience of 7 years working in the information technology and services industry. He has extensive working knowledge of Java, JavaScript, Perl, R, PL/SQL and Databases.

Expert in
  • R
  • Business Intelligence
  • Java
  • SQL
  • DevOps
Also worked with
  • Git
  • jQuery
  • Machine Learning
  • Angular 2+
Omkar

Omkar

R Developer

Experience12 years
AvailabilityFull-time

Omkar has 12+ years of software engineering experience across various domains such as security, finance, healthcare, and semiconductors.

Expert in
  • R
  • C++
  • Gitflow
  • Assembly
  • Security
Also worked with
  • Python
  • Software Development
  • Maven
John

John

R Developer

Experience20 years
AvailabilityFull-time

John is an experienced full-stack software engineer as well as a website operator with 20+ years of experience. He has founded two technology startups and worked as a CEO & CTO.

Expert in
  • R
  • SQL
  • React
  • PHP
  • React Native
Also worked with
  • MS SQL Server
  • Swift
  • Objective-C
  • jQuery
Jian

Jian

R Developer

Experience8 years
AvailabilityFull-time

Jian has 8 years of experience in both software engineering and product management. Previously, he has worked for Fortune 100 companies, led cross-functional teams and managed projects valued over $8 mn.

Expert in
  • R
  • Tableau
  • JavaScript
  • React
  • HTML
Also worked with
  • GitLab
  • DevOps
  • TFS
  • Stack Knowledge
Tanay

Tanay

R Developer

Experience6 years
AvailabilityFull-time

Tanay has 6 years of industrial experience in the analytics domain. He has a strong programming expertise and can execute data-driven solutions to increase efficiency, accuracy, and utility of data processing.

Expert in
  • R
  • Tableau
  • SQL
Also worked with
  • Python
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Ultimate guide to hire R developers

In this guide, we have listed down the major recruiting points on how to hire R developers to scale up your development team.

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Ultimate guide to hire R developers
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  1. Tell us the skills you need

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How to hire an R developer? Skills to look for, interview questions, and more

R is a programming language and a software package used for statistical analysis and research. It comprises many techniques, such as linear regression, time series analysis, statistical inference, to name a few.

R is not only a software package but a full-fledged programming language, and you can create objects, functions, and packages. Though most R libraries are written in the R language itself, C, C++, and Fortran libraries are used for the heavier and complex machine learning processes.

Though the R developers are very high in demand and can be a great asset to your organization, hiring an R developer can be very tedious and time-consuming. Hiring an R developer itself demands that a person have a fair bit of experience in the language. If you are a non-technical manager, this could be a great source of information to help you hire the best R developer for your business requirements.

Skills to look for in an R developer?

An R developer must have these skills to be competent and experienced in developing scalable solutions:

1. Familiarity with the programming environments and language

A data scientist and analyst must have a working knowledge of the languages such as C++, SAS, Python, Hadoop, etc. But not only knowing the languages is essential, being comfortable with the environment of language is highly crucial. It helps the scientist be versatile and solve many problems that require different approaches at any given moment. So, a data scientist must know the language inside out to be competent to analyze data and derive meaning from the heaps of arbitrary data present in random data sets.

2. Expertise in statistical calculations

As an R developer, it is crucial to have expertise in statistical calculations. Data analysis and statistics are closely related concepts. R has more than 9100 packages at its disposal to manipulate data but to understand the output of the language, a developer needs to have a strong understanding of the statistical frameworks and calculations.

3. Data visualization skills

It becomes essential for an R developer to have data visualization skills. A data visualization tool such as Tableau, Sisense, Qlikview, Ploty, etc., will help the non-technical audience to understand complex trends and analysis through charts, graphs, histograms, etc. A data scientist can cater to a broader range of audiences in an organization through data visualization tools.

4. Machine Learning skills

An experienced R developer must be familiar with Artificial Intelligence and Machine Learning concepts to develop efficient data models and software applications. They should have a deep understanding of ML algorithms and libraries used to build intelligent applications and train models to process raw information into meaningful data.

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5. Expertise in Linear Algebra and Multivariable Calculus

These skills are essential for a data scientist and an R developer. It becomes incredibly crucial for small incremental optimization in the algorithms. Even though there are thousands of packages available for the R developers, it can be beneficial for the organization if they can make their in-house implementations and algorithms from scratch tailored to the specific needs.

6. Expertise in data wrangling

There is no such thing as a perfect data set. In reality, there are imperfections in data sets every time. Data wrangling helps to manipulate data to remove all the imperfections in the data sets. Mastering data wrangling concepts is essential because it is the fundamental step before the actual implementation of R language to analyze the data.

7. Having data intuition

Some scenarios in the organization demand to develop a whole new process altogether or tweak the earlier methods to achieve better ROI. Having a strong data intuition is helpful for R developers to think out of the box and devise innovative solutions.

8. Communication

It is crucial to communicate the complex data structures and trends through the visual elements to the non-technical stakeholders. Strong communication and interpersonal skills are required for R developers to grow rapidly in their careers.

Create a hiring funnel

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying an R programmer who will fit into your company's culture.

What Turing does for you

Candidate screening
Candidate screening

We will help you select the best talents and spot a SKILL developer who will fit in your company culturally.

Test task
Test task

We verify if the candidate really wants to work at your company and is able to spend 5+ hours to prove it by rigorous tests. It helps us to see a developer's caliber.

Technical test
Technical test

Developers are asked SKILL related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.

Giving specific feedback
Giving specific feedback

We provide explicit feedback on both the test task and the technical test after we have checked the developer's expertise.

What you do

Interview
Interview

You can interview the shortlisted developers to check if the candidate matches your requirements and is a good fit for your company.

Hired/Not-hired
Hired/Not-hired

Hire intelligently with developers sourced by software, vetted by software, matched by software & managed by software.

Top interview questions to hire R programmers.

Asking the right questions as an IT recruiter or a project manager to the potential candidates is very important to judge their capabilities to the fullest. So here are some of the sample questions which are extremely important to ask while interviewing R developers:-

The answer to this question will help you know the problem-solving skills and expertise of the developer in the R language environment.

Knowledge of the data mining process is essential because it is one of the fundamental features of the R programming language. Data mining is significant for data analysis and data wrangling. Some of the important packages used for data mining include ggplot2, dplyr, tidyr, Shiny, Plotly, etc.

This question will help you know if the candidate knows the R programming language inside out and not only on the superficial level. This feature allows the developers to manipulate arrays, vectors, data frames, matrices, and more. These functions work as an alternative to the loops but are more efficient and faster than them.

The answer to this question would be: We have six types of data objects in R programming that includes list, factor, data frame, vector, matrix, and array.

A linear regression model or any model in the case of R language is the foundation of data manipulation and analysis. The developer might answer the following:
Steps to build and evaluate a linear regression model are:

  • Load the data into R
  • Make sure your data meet the assumptions
  • Perform the linear regression analysis
  • Check for homoscedasticity
  • Visualize the results with a graph
  • Report your results

General knowledge of the various packages of R language shows that an R developer has some experience of using the language and its environment. Some packages used for data imputation include MICE, Amelia, mi, missForest, Hmisc, etc.

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Here are some more R developer interview questions that you can ask to assess a developer’s caliber.

  • When is it appropriate to use the “next” statement in R?
  • What is the use of with() in R?
  • What’s one way to find the missing value in an integer array?
  • How do you remove duplicates from an array?
  • When you have duplicate characters in a string, how do you print them?
  • How do you count vowels and consonants in a string?
  • How can you locate all permutations of a given string?
  • How would you implement a binary search tree?
  • How do you perform a binary search on an array?
  • How do you deploy an insertion sort algorithm?
  • How do you implement a merge sort algorithm?

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Frequently Asked Questions

The purpose of the two-week no-risk trial period is to start working with the developers and include them in the team. If you are satisfied with the developers, you keep working with them and pay their salary including the first two weeks. But, if you are not satisfied during the trial period, then you won’t pay anything.

Turing offers top-quality, cost-effective, and highly productive R developers who belong to the top 1% of the world's remote developers. All Turing R developers are selected only after going through a series of rigorous tests where their skills are deeply vetted. Daily standups are mandatory for every Turing developer as they keep the developer and the customer in alignment with the discussed goal. All Turing remote R developers work for at least 4 hours in your time zone for your convenience.

You can hire the best R developers with the help of Turing. Turing goes deep into the global talent pool to source R developers from across the world. Companies can hire pre-vetted remote R developers within 4 days with Turing.

Turing has created the first and only AI-powered deep-vetting talent platform to vet remote developers. Turing tests developers based on actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

R is a programming language focused on mathematical and numerical tasks, like statistical computing and visualization. R Developers are in demand and Turing helps you to connect with them in the easiest way possible.

R programmers are in-demand, especially when it comes to emerging startups. Some of the positions that are available for R programmers are Data Scientist and Business Analyst. You can connect with Turing to hire R developers within 4 days.

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