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R R Solutions Jobs (NOW HIRING)

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 ...

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 ...

Represent R&R solutions in Bid Defense Meetings, pre-award planning, and escalations. * Cross-Functional Leadership: Partner with Clinical Trial Managers, Project Leads, Regulatory, Operations, and ...

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R R Solutions information

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$80K

$124K

$151K

How much do r r solutions jobs pay per year?

As of Jun 15, 2026, the average yearly pay for r r solutions in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

What are R R Solutions?

R R Solutions typically refers to companies or services offering a range of technology-driven solutions, such as software development, IT consulting, or business process optimization. These organizations help businesses streamline operations, improve productivity, and integrate new technologies. Their services may include custom software, IT support, data analytics, and cloud solutions. The exact offerings can vary depending on the specific company named 'R R Solutions.'

What is the difference between R R Solutions vs Data Entry Clerk?

AspectR R SolutionsData Entry Clerk
Required credentialsTypically requires technical certifications or industry-specific trainingHigh school diploma or equivalent, basic computer skills
Work environmentOffice or remote, often in IT or customer service sectorsOffice settings, data processing centers
Employer and industry usageUsed across various industries including IT, logistics, and customer supportPrimarily in administrative, healthcare, and retail sectors

R R Solutions generally involves technical or specialized roles requiring certifications, whereas Data Entry Clerks focus on inputting data with minimal technical requirements. Both roles are essential in their respective industries but differ significantly in skills and work environment.

What are some common challenges faced by professionals working in RPA (Robotic Process Automation) solutions roles?

Professionals in RPA solutions roles often encounter challenges such as integrating automation tools with legacy systems, managing change among staff who may be unfamiliar with automation, and ensuring the security and compliance of automated processes. Additionally, accurately identifying which processes are suitable for automation and maintaining bots as business requirements change are ongoing tasks. Collaboration with business analysts, IT, and end users is crucial to ensure solutions meet operational needs and deliver measurable value.

What are the key skills and qualifications needed to thrive as an RPA Solutions Specialist, and why are they important?

To thrive as an RPA Solutions Specialist, you need a solid background in process automation, programming (such as Python or .NET), and an understanding of business workflows, usually supported by a degree in computer science or a related field. Familiarity with RPA tools like UiPath, Blue Prism, or Automation Anywhere, and relevant certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication set top professionals apart in this role. These skills ensure the successful design, implementation, and optimization of automation solutions that drive operational efficiency.
What cities are hiring for R R Solutions jobs? Cities with the most R R Solutions job openings:
What states have the most R R Solutions jobs? States with the most job openings for R R Solutions jobs include:
R Programmer (Washington, DC)

R Programmer (Washington, DC)

CEDENT

Washington, DC โ€ข Remote

Other

Posted 25 days ago


Job description

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.

This is a contract position


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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