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: Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community
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Remote R Programming information
What is a remote R programming?
A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.
What does a remote R programmer do?
Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.
What are the key skills and qualifications needed to thrive in the remote R programming position?
To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.
What are the most commonly searched types of R Programming jobs in Washington?
The most popular types of R Programming jobs in Washington are:
What are popular job titles related to Remote R Programming jobs in Washington?
For Remote R Programming jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote R Programming jobs in Washington look for?
The top searched job categories for Remote R Programming jobs in Washington are:
What cities in Washington are hiring for Remote R Programming jobs?
Cities in Washington with the most Remote R Programming job openings:
R Programmer
Washington, DC • Remote
CEDENT
• IT Services • 11 - 50 employees11 - 50 employees
Contractor
Re-posted 25 days ago
Job description
Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
- Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated “R” analytics data science products on AWS.
- Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD.
- Design, develop, test, and support R programs to execute modeling application systems via distributed computing on AWS
- Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
- Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
- Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
- Participate in an on-call rotation for critical outages and issues
- Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
- Effective communication and technical skills
- Develop & maintain technical documentation including system diagrams & operational procedures
Required qualifications:
- 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
- 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
- 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
- 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
- 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
- Experienced in Data Exploration packages with Base R
- Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
- Ability to effectively communicate technical solutions to engineering teams and business audiences
Key Competencies:
- Knowledgeable in the AWS Well Architected Framework
- Strong analytical, organizational, problem-solving, and time-management skills
- Strong communication (verbal and written) and listening skills.
- Strong teamwork, planning, and coordination skills
- Self-motivation, adaptability, and the ability to meet aggressive deadlines.
- Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.
About Cedent
Sourced by ZipRecruiter
CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Plano, TX, US
Year founded
2008