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Remote Data Science R Jobs in Richmond, VA (NOW HIRING)

Mission Lane

Model Process Manager

Richmond, VA · On-site +1

$81K - $95K/yr

... across data science, credit, risk, and compliance. By year end, you'll have driven at least one ... remote-first work environment. About Mission Lane: Founded in December 2018, Mission Lane is a ...

Kobie Marketing

Director, Product

Richmond, VA · Remote

$238K - $249K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

JLL

Data Collection Specialist II

Richmond, VA · Remote

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

micro1 AI

Director of Biostatistics

Richmond, VA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Biostatistician

Richmond, VA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

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Showing results 21-40

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Richmond, VA

Remote Data Science R information

See Richmond, VA salary details

$37.1K

$121.5K

$194.5K

How much do remote data science r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data science r in Richmond, VA is $121,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are popular job titles related to Remote Data Science R jobs in Richmond, VA?

For Remote Data Science R jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in Richmond, VA look for?

The top searched job categories for Remote Data Science R jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Remote Data Science R jobs?

Cities near Richmond, VA with the most Remote Data Science R job openings:

Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in Richmond, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,466 per year, or $58.4 per hour.

Data Migration - Oracle

Digital Links Inc

Ruther Glen, VA • Remote

Contractor

Posted 12 days ago

Job description

Data Migration - Oracle

Duration: 6 months to a year

Start: Immediate (September)

Location: Remote (Anywhere in US)

Status: USC

Public Safety Technical Consulting Contractor – Data Migration for oracle's Public Safety implementation team. This is a hands-on, SQL-focused technical position that partners with law enforcement and public safety agencies to extract, analyze, transform, validate, and migrate historical data into oracle Public Safety software.

Key responsibilities include

-investigating source-system data structures,

-identifying relationships and data-quality issues, and

-using SQL and related migration tools to build, test, and refine repeatable migration logic tailored to each agency’s data.

Other responsibilities include working directly with agency stakeholders to translate migration requirements and operational needs into reliable, repeatable technical solutions, and collaborating with implementation, product, and agency stakeholders to support successful go-lives.  Candidates for this role should be excited about pushing the boundaries and adopting new technologies and tools to accomplish successful customer outcomes. This role requires the ability to adapt quickly, a drive for results, and a “never satisfied” mentality. You will be an early team member of this fast-growing and exciting line of business at oracle

What you will do:

  • Partner with public safety agencies, project teams, and technical stakeholders to define each data migration scope, requirements, priorities, and success criteria.
  • Work directly with public safety agencies to understand legacy-system data, operational workflows, and migration requirements covering dispatch, records, and jail data.
  • Use SQL and related migration tools to extract, analyze, transform, and validate historical data.
  • Investigate source-system data structures, relationships, and data-quality issues, and document data mappings and transformation rules for each migration.
  • Build, test, and maintain repeatable migration logic tailored to each agency’s source data and mapping requirements.
  • Investigate migration issues, data discrepancies, and validation feedback; refine migration logic and execute iterative migration cycles through agency validation and acceptance.
  • Communicate progress, risks, issues, and dependencies to both internal and external project stakeholders throughout the migration lifecycle.
  • Support migration planning and execution for production go-lives, including post-migration validation and issue resolution.
  • Contribute to reusable migration practices, tools, and standards across Public Safety implementations.
  • Collaborate with Product, Development, Support, and Implementation teams to resolve technical issues and help develop reusable migration tools and practices for future projects.

What you’ve done:

  • Bachelor’s degree in computer science, information technology, data management, or a related field, or equivalent work experience.
  • 4+ years of hands-on experience with SQL, data analysis, data migration, database development, or related technical discipline.
  • Proven ability to write and troubleshoot SQL queries for data extraction, transformation, validation, and reconciliation.
  • Skill in analyzing source-system data structures, relationships, and data-quality issues.
  • Excellent analytical and problem-solving skills, with exceptional attention to detail.
  • Familiarity with relational databases, such as Oracle and SQL Server, and data formats, such as CSV, XML, and JSON.
  • Effective communication skills and the ability to work directly with agency stakeholders to translate operational needs into technical solutions.
  • Demonstrated ability to work independently while collaborating effectively with agencies, project teams, and technical stakeholders.
  • Proactive relationship-building skills with internal and external stakeholders.

It would be awesome if you also had:

  • Knowledge/familiarity with Oracle products and services, including Oracle Cloud Infrastructure (OCI).
  • Experience working in a public safety position.
  • Management experience including developing and leading a team.
  • Experience with product development tools such as JIRA.
  • Experience with AI development tools.