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R Data Scientist Assistant Jobs (NOW HIRING)

Strong proficiency in programming languages such as Python or R * Experience with machine learning ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ...

Data Scientist

Reston, VA

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist Location: San Antonio, TX / Plano, TX (Onsite) Employment Type: Contract Experience ... This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning ...

Data Scientist Location: San Antonio, TX / Plano, TX (Onsite) Employment Type: Contract Experience ... This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning ...

Data Scientist

Reston, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Strong proficiency in programming languages such as Python or R * Experience with machine learning ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... * Assist senior analysts with statistical modeling, machine learning, trend analysis, and ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... * Assist senior analysts with statistical modeling, machine learning, trend analysis, and ...

We need someone to assist in developing data-driven solutions, building predictive models, and ... Experience with SQL and Python or R * Experience building and implementing data science solutions

... R or similar tools Deploy monitor and optimize ML models in production environments using AWS ML ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

Data Scientist, Lead

Washington, DC · On-site

$85K - $201.33K/yr

... assist with building AI tools that automate key processes. This position will be based out of ... Deep understanding and experience using Python and/or R * Prior experience with large data, multi ...

Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with ... Experience conveying complex data science insights to non-technical audiences * Specific experience ...

The Data Scientist will assist in our efforts to expand our capabilities within Positive Train ... Python, R and Scala Additional Preferred Qualifications: * Bachelor's degree from an accredited ...

The Data Scientist will assist in our efforts to expand our capabilities within Positive Train ... Python, R and Scala Additional Preferred Qualifications: * Bachelor's degree from an accredited ...

Be Seen First

Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data ... Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models.

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R Data Scientist Assistant information

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$46K

$165K

$243.5K

How much do r data scientist assistant jobs pay per year?

As of May 28, 2026, the average yearly pay for r data scientist assistant in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Data Scientist Assistant, and why are they important?

To thrive as an R Data Scientist Assistant, you need a solid understanding of statistics, data analysis, and proficiency in the R programming language, often supported by coursework in data science or a related field. Familiarity with tools such as RStudio, data visualization packages like ggplot2, and version control systems like Git is typically expected. Strong attention to detail, critical thinking, and effective communication skills help you interpret data and work collaboratively with teams. These skills are crucial for ensuring accurate data analysis, efficient workflow, and actionable insights for business or research objectives.

What are the typical collaboration dynamics between an R Data Scientist Assistant and senior data scientists or analysts?

As an R Data Scientist Assistant, you will often work closely with senior data scientists and analysts, supporting them by preparing datasets, performing initial data cleaning, and conducting exploratory analyses using R. You may be responsible for creating reproducible scripts, visualizing results, and documenting your workflow. Regular meetings and code reviews are common, providing opportunities to learn best practices and receive feedback. This collaborative environment helps you build technical skills and understand how your contributions fit into larger data-driven projects.

What are R Data Scientist Assistants?

R Data Scientist Assistants are professionals who support data scientists by performing data cleaning, analysis, and visualization tasks using the R programming language. They help prepare datasets, create scripts, generate reports, and may assist in implementing machine learning models. Their role is crucial in ensuring data quality and streamlining the workflow, allowing data scientists to focus on more complex analyses. This position typically requires a strong foundation in statistics, programming in R, and good communication skills.

What is the difference between R Data Scientist Assistant vs Data Analyst?

AspectR Data Scientist AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with RBachelor's in Data, Statistics, Business, or related field; proficiency in data tools
Work EnvironmentResearch labs, tech companies, analytics teamsBusiness settings, marketing, finance, healthcare
Employer & Industry UsageTech firms, research institutions, analytics departmentsCorporations, consulting firms, government agencies
Common Search & ComparisonOften compared for entry-level data roles involving RCompared for data interpretation and reporting tasks

The R Data Scientist Assistant typically focuses on supporting data science projects using R, requiring programming skills and statistical knowledge. Data Analysts often handle data interpretation, reporting, and visualization across various industries. While both roles require analytical skills, the assistant role emphasizes programming and statistical modeling, whereas the analyst role centers on data reporting and business insights.

More about R Data Scientist Assistant jobs
What cities are hiring for R Data Scientist Assistant jobs? Cities with the most R Data Scientist Assistant job openings:
What are the most commonly searched types of R Data Scientist jobs? The most popular types of R Data Scientist jobs are:
What states have the most R Data Scientist Assistant jobs? States with the most job openings for R Data Scientist Assistant jobs include:
Infographic showing various R Data Scientist Assistant job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Full-time

Posted 4 days ago


Job description

Overview

We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME