Remote R developer jobs at top U.S. companies

We, at Turing, are looking for talented remote R developers who will be responsible for writing code for statistical computing, data analysis, and data modeling. Get an excellent opportunity to work at leading Silicon Valley firms and rise quickly through the ranks.

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Job description

Job responsibilities

  • Design and implement analytics solutions as per client requirements
  • Collaborate with various teams to develop data processing systems
  • Write high-quality, effective code for advanced data analysis, manipulation, and data modeling
  • Troubleshoot issues to ensure the system runs properly
  • Analyze, visualize and communicate data insights to help businesses make informed decisions
  • Perform unit, functional and integration testing
  • Develop new models and refactor existing ones using R
  • Create, implement, and integrate APIs
  • Deploy coding standards and advanced guidelines to ensure efficient R programming
  • Create documentation and specifications for R interfaces

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics, IT (or equivalent experience)
  • At least 3+ years of experience in R programming (rare exceptions for highly skilled developers)
  • Proficient with R programming
  • Understanding of AI/ML algorithms and statistical computing
  • Working knowledge of descriptive analytics, predictive analysis, and statistics
  • Expertise in one or more scripting languages, such as Python, Perl, etc.
  • Proficient with database technologies such as SQL
  • Experience with RUnit for testing and REST APIs
  • Knowledge of business analysis, system design, and business process re-engineering
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience in using version control systems such as Git
  • Experiences with configuration management tools, like Ansible or Puppet
  • Working knowledge of CI/CD pipelines
  • Comfortable with Agile project delivery methodologies
  • Excellent analytical and interpersonal skills

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How to become an R developer ?

R programming is a software environment used for statistical computing, data analysis, and plotting. The R language is intended to combine the ease of use and the power of the S language with the efficiency of C++.

The R language provides a rich set of commands for data manipulation and calculation as well as graphics capabilities. R was developed for statistical analysis and creating publication-quality data visualization. R is one of the popular languages used by many industry giants and can be used for a range of purposes from data science to machine learning or even graphic design.

An R programmer/developer is someone who specializes in software development under the free software environment and language. They are primarily responsible for creating codes for statistical computation and analysis. Hence, experience in statistics is crucial to being a good R programmer. There are many companies looking to develop statistical software and data analysis. The demand for remote R developers has gained traction in recent years. Here is how you can become a professional remote R developer.

What is the scope of R development?

As technologies have become increasingly complex in recent years, many industries have welcomed innovations and implementations of data science technologies into their infrastructures, making devices smarter with information.

These technological innovations have only been possible because of the development of data science technology and hypotheses, for which R programming has taken a leading role as one of the most preferred languages of the past few years. With the constant debate over the future of data science, more job opportunities are created every day that allows R developers to climb up their career ladder to a new and more challenging level.

What are the roles and responsibilities of an R developer?

The higher demand for big data has led to an increase in demand for R programmers. In the age of information, there are countless doors opening for innovation and growth through data science, and R programming is one tool that can maximize the benefits of new technologies. Businesses are investing in R experts with extensive experience in data analysis, machine learning, and statistical models in order to scale their operations.
R programmers perform a wide range of duties related to statistical computing and data analysis. They use R to create simulations, graphical representations, and data analysis, and design statistical models and procedures for their organizations. They can develop machine-learning and statistical-analysis tools for the business, as well as data-mining systems.
Here are the responsibilities of an R developer:

  • Develop and execute analytics solutions according to the client's needs
  • Build data processing systems in collaboration with various teams
  • Write efficient, high-quality code for advanced data analysis, manipulation, and modeling
  • Troubleshoot problems to ensure that the system functions properly
  • Assess, interpret, and communicate data insights to assist businesses in making rational choices
  • Carry out unit, functional, and integration testing
  • Create new models and refactor existing ones using R
  • Develop, deploy, and incorporate APIs
  • Implement coding standards and advanced guidelines to ensure R programming efficiency
  • Create R interface documentation and specifications

How to become an R developer?

Let's now discuss what one must do in order to pursue a profession in the R Development field.

R is better suited for data scientists who are interested in machine learning or statistical analysis.

  • Understand the statistics
    Probability, hypothesis testing, inferential and descriptive statistics form a core part of the data science curriculum for students. These are necessary techniques for interpreting the statistical output of a business.
  • Programming languages
    R developers need to be fluent in one or more programming languages, such as R, Perl, ML/AI, and Python, as well as adept at using various programming environments for analyzing data. In today's business landscape, unprecedented value is given to those who can work with data.
  • Communication
    An R programmer must be an excellent communicator. To solve real-world problems, they must collaborate with a large number of professionals and stakeholders. They must also understand the data and field in which they work.
  • Courses for R programming
    It is better to have a strong foundation in the basics of R. This is achieved by taking courses or online boot camps. R programming courses explain concepts and expose students to real-world tasks and problems. Some of the R programming courses are available from top-rated online sources such as Simplilearn, Udemy, Coursera, and others.

Let us now dive into the skills and methods you'll need to master in order to become a successful R developer:

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Skills required to become an R developer

You must begin with training in the fundamental skills that can get you high-paying R developers jobs. Here are skills you need to know!

1. R

R is the most popular programming language used in data science and statistics. R is used in analyzing a variety of data sets that are both structured and unstructured. This has made R the standard programming language for statistical analysis and operations. R allows for several features that make it ideal for data analytics. R is helpful at every step of the process from gathering and cleaning data to analyzing it and reporting the results.

2. Machine learning

Machine learning (ML) is a type of artificial intelligence (AI) that allows an application to become more accurate at predicting outcomes, without the need for explicit programming. ML algorithms use historical data as input, in order to predict new output values. Machine learning has become important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products for many leading companies such as Facebook, Google, and Uber. Many of today's leading companies make machine learning a central part of their operations.

3. NLP

Natural language processing is a field of artificial intelligence that seeks to give computers the ability to understand text and spoken words in much the same way human beings can. Natural language processing combines computational linguistics with statistical, machine learning, and deep learning models; it drives computer programs that translate text from one language to another, respond to spoken commands, and summarize large volumes of text rapidly, even in real-time. Natural language processing also plays a growing role in enterprise solutions that help streamline business operations, increase employee productivity, and simplify mission-critical business processes.

4. API

An application programming interface, or API, is a set of definitions and protocols for building software applications. It is also sometimes called a contract between an information provider and an information user. In plain terms, if you want to use a computer or system as part of your application (for example, to retrieve information), an API helps you communicate what you want to that system in a way that it can understand and fulfill the request.

5. Perl

Perl is a general-purpose, high-level, interpreted, dynamic programming language with full support for procedural, object-oriented, and functional programming. Perl takes a minimalist approach to syntax and semantics while providing strong support for text processing and pattern matching. Though not as fast or optimized as some other standalone interpreted languages like Python in terms of execution speed and structure layout, Perl's use of common syntaxes from other languages such as C, Java, and shell script makes it easy for developers to learn how to program quickly in Perl. Most system administrators use it for web programming, web automation, GUI programming, and more.

Interested in remote R developer jobs?

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How to get remote R developer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote R developer jobs that suit your career trajectories as an R developer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote R developer jobs with better compensation and career growth.

Why become an R developer at Turing?

Elite US jobs
Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth
Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.
Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home
Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation
Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their R developers?

At Turing, every R developer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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