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Remote Data Analyst R Programming Jobs in Richmond, VA

Gnw

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... In this role, you will work closely with analysts, data scientists, ML/AI engineers, and product ...

CareScout

Senior Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

POSITION TITLE Senior Data Engineer POSITION LOCATION This position is available to remote ... In this role, you will work closely with analysts, data scientists, ML/AI engineers, and product ...

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All JobsRemote Data Analyst R Programming JobsRemote Data Analyst R Programming Jobs in Richmond, VA

Remote Data Analyst R Programming information

See Richmond, VA salary details

$33.6K

$81.8K

$134.6K

How much do remote data analyst r programming jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data analyst r programming in Richmond, VA is $81,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst specializing in R Programming, and why are they important?

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a Remote Data Analyst specializing in R Programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What is a Remote Data Analyst R Programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.
What are the most commonly searched types of Data Analyst R Programming jobs in Richmond, VA? The most popular types of Data Analyst R Programming jobs in Richmond, VA are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Richmond, VA? For Remote Data Analyst R Programming jobs in Richmond, VA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Richmond, VA look for? The top searched job categories for Remote Data Analyst R Programming jobs in Richmond, VA are:
What cities near Richmond, VA are hiring for Remote Data Analyst R Programming jobs? Cities near Richmond, VA with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you
AI/ML Engineer + Data engineer (W2)

AI/ML Engineer + Data engineer (W2)

Snowrelic Inc

Glen Allen, VA • Remote

$117K - $140K/yr

Contractor

Posted 9 days ago

Job description

AI/L Engineer

remote (USA)

contract to hire, . 

Top skills: 

Python; Java nice to have 

AWS Cloud 

AI/ML; A/B framework 

Data Engineering 

Containerization 

DevOps 

looking for an Engineer with a strong background in data engineering, cloud infrastructure, and AI/ML application development. This 6-month contract role (with potential for hire) offers the opportunity to work on cutting-edge Generative AI and Large Language Model (LLM) solutions that power digital transformation. 

In this position, you’ll lead the design, development, and deployment of secure, scalable AI applications on AWS, driving modernization across critical business platforms. The ideal candidate will be passionate about AI innovation, cloud technologies, and collaborative engineering, with proven skills in SQL, software design principles, and Agile delivery. 

You’ll work within a high-performing Agile team focused on advancing our enterprise’s next-generation capabilities—building reliable, ethical, and high-quality solutions that directly support our strategic growth goals. 

Key Responsibilities 

  • Lead the end-to-end development and deployment of AI/ML and cloud-based applications, from concept through production. 

  • Design and maintain secure AWS infrastructure, focusing on scalability, performance, and compliance. 

  • Implement AI/ML best practices, including prompt engineering, data versioning, systematic experimentation, and A/B testing. 

  • Develop, test, and integrate high-performance applications, APIs, and data solutions supporting  products and modernization goals. 

  • Write clean, testable, and maintainable code, following SOLID principles and software engineering best practices. 

  • Create and maintain clear, detailed technical documentation for all systems and processes. 

  • Collaborate effectively within Agile teams using tools such as Jira and Confluence, contributing to sprint planning, reviews, and retrospectives. 

  • Participate in on-call rotations to provide timely technical support for production systems. 

  • Communicate proactively, identifying and escalating risks or blockers early. 

  • Promote a culture of inclusion, continuous learning, and technical excellence. 

Technical Skills 

  • Python, Java, C#, JavaScript/TypeScript 

  • SQL, DB2, SQL Server, PostgreSQL, NoSQL (MongoDB or DynamoDB) 

  • AWS (CloudFront, EC2, Lambda, S3, RDS); Azure experience a plus 

  • LLMs, model deployment, prompt engineering, data pipelines, A/B testing frameworks 

  • Git, Docker, Kubernetes, Terraform, Jenkins, API Gateway, RESTful API development 

  • ETL pipelines, data versioning, and performance optimization 

  • Unit and integration testing, automated CI/CD pipelines, test coverage tools 

  • Solid understanding of Agile and SAFe practices.  

Qualifications 

  • Bachelor’s degree in computer science, Engineering, or a related field (master’s preferred). 

  • Minimum 7 years of experience in software engineering, data management, or cloud application development. 

  • Proven experience leading complex development efforts involving AI/ML or cloud technologies. 

  • Strong analytical and problem-solving skills, with the ability to work autonomously and adapt to evolving project needs. 

  • Excellent verbal and written communication skills, with the ability to collaborate across technical and non-technical teams. 

  • Demonstrated commitment to quality, security, and continuous improvement.