R Developer Remote Jobs
EPAM is looking for remote R Language Developers.
Java
SQL, Spring, Go Language
40 hrs/week
12+ months
Java
SQL, Spring, Go Language
40 hrs/week
12+ months
Python.Core
Amazon Web Services, FastAPI, ReactJS
40 hrs/week
12+ months
DevOps
Amazon Web Services, Git, Kubernetes
40 hrs/week
12+ months
DevOps
Amazon Web Services, Git, Kubernetes
40 hrs/week
12+ months
Python.Core
JavaScript, Go Language, TypeScript
40 hrs/week
12+ months
Python.Core
Google Cloud Platform, Go Language, Java
40 hrs/week
12+ months
Python.Core
Go Language
40 hrs/week
12+ months
Python.Core
Amazon Web Services, Kubernetes, Docker
40 hrs/week
12+ months
Python.Core
Google Cloud Platform, Go Language, Java
40 hrs/week
12+ months
Choose among remote R developer jobs at EPAM
R is the 7th most popular programming language according to the Spectrum Survey by IEEE. Written by statisticians, R helps companies of any size turn user data into revenue growth. With Big Data and Machine Learning driving almost every business domain, R programming language jobs are among the hottest openings in the tech market.
At EPAM, we are on the lookout for professionals interested in one of our remote R language jobs. Our clients are top technical brands and startups around the world who need a mathematically savvy specialist to optimize their data. We offer challenging projects and competitive rewards and specialists to help you develop your growth plan to achieve your career ambitions.
Skills necessary for remote R developers
R programming language jobs require strong knowledge of math and a sound grasp of statistics and Machine Learning. Here are some other core skills you will need to find the R programming job of your dreams in no time:
- proficiency with R; knowing additional languages like Python or Java is also a tremendous benefit for R programmer jobs
- firm grasp of SQL and popular database management systems; ability to create complex data queries
- knowledge of data structures
- applied knowledge of data mining, engineering, and visualization
- experience with Data Science and Machine Learning frameworks like Tensor is an asset
- understanding of mathematical and ML concepts like Anomaly Detection, Time Series, Natural Language Processing, etc.
- knowledge of statistics, and predictive and descriptive analytics
Remote R Development responsibilities
When you accept an R Programming job, you’ll be using a plethora of R statistical and graphical methods to perform data analysis and create data visualizations. Debugging and improving your scripts is also a key responsibility. Some other responsibilities you can expect include:
- designing and building data pipelines to extract, collect, and analyze data
- creating scripts to automate a variety of data workflows
- building predictive models
- analyzing business processes using statistics
- building A/B test suits
- identifying and troubleshooting anomalies in application work