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Internship Data Science R Jobs in Silver Spring, MD

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... R, SQL, CUDA, Hadoop, and Spark * Experience with Dataiku's Data Science Studio Additional ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... R programming skills to accelerate data analysis, analytical workflow development, and ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Proficiency with Python, R, or similar data science programming languages * Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, or similar) * Strong statistical analysis ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Proficiency with Python, R, or similar data science programming languages * Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, or similar) * Strong statistical analysis ...

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

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 ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... R programming skills to accelerate data analysis, analytical workflow development, and ...

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

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 ...

INTECON

Senior Data Science Consultant

Washington, DC · On-site

Proficiency with Python, R, or similar data science programming languages * Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, or similar) * Strong statistical analysis ...

VTG

Data Scientist

Mclean, VA

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

Bigbear.ai

Data Scientist, Lead

Washington, DC

$114K - $171K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

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Showing results 21-40

All JobsData Science R JobsInternship Data Science R JobsInternship Data Science R Jobs in Silver Spring, MD

Internship Data Science R information

See Silver Spring, MD salary details

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$23

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How much do internship data science r jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for internship data science r in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Internship at R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What is an Internship Data Science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

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

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.
What cities near Silver Spring, MD are hiring for Internship Data Science R jobs? Cities near Silver Spring, MD with the most Internship Data Science R job openings:
Internship Data Science R jobs near you
Infographic showing various Internship Data Science R job openings in Silver Spring, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Data Scientist QxBranch

QxBranch

Washington, DC • On-site

Full-time

Posted 12 days ago

Job description

Company Description
QxBranch delivers predictive analytics solutions leveraging the emerging potential of Quantum Computing. To make high-stakes, complex business decisions, you must have confidence in the underlying insights and predictions. But how sure can you be when those predictions are based on a proverbial "black box"? That's why QxBranch Predictive Analytics solutions feature transparent data science, providing confidence in each prediction. To build Predictive Analytics solutions that endure, you must respond to changes in business concepts, market needs, and the underpinning technologies that deliver insights. QxBranch uses modern, adaptable data analytics tooling that can address your needs today, and is a leader in Quantum Computing software and applications that will enhance your solutions tomorrow.
QxBranch is headquartered in Washington, DC, with offices in London, UK and Adelaide, Australia. Our clients include insurance, investment banks, pharmaceutical, and oil and gas organizations.
Job Description
QxBranch is seeking a talented data scientist with a background in machine learning and taking data science solutions through to production. The successful applicant will be invited to join our welcoming, diverse team in Washington DC and work on innovative solutions to diverse problems. The role will require you to interact with clients and collaborate with QxBranch's passionate team of data scientists and systems engineers, shaping data analytics solutions to meet client needs.
Responsibilities:
  • Prototype, develop, and deploy complex analytics models for client systems
  • Organize, manage, and curate large and complex datasets
  • Work in an internationally distributed team, with schedule flexibility
  • Deliver high quality technical outcomes while adhering to cost and schedule constraints
  • Continue technical and professional development to ensure QxBranch technology remains on the cutting edge

Qualifications
Education and Experience:
  • Proficiency in Python and common machine learning packages such as scikit-learn, NLTK, and Theano
  • Competence in all portions of the data analytics pipeline, including ingest, cleaning, feature extraction, modeling, statistical validation, and visualization / reporting
  • Competence in software development practices including writing maintainable code, unit testing, version control, cloud-based development and performance profiling and tuning
  • Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred
  • Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and graduate level education

Desired Skills:
  • Expertise in one or more of: natural language processing, probabilistic modeling, time series analysis, anomaly detection, deep learning, behavioral analysis, causal analysis
  • Strong data visualization and data "storytelling" skills
  • Analytics experience in finance, insurance, and/or cyber security
  • Proficiency in other analytics technologies, such as R, SQL, CUDA, Hadoop, and Spark
  • Experience with Dataiku's Data Science Studio

Additional Information
QxBranch is committed to ensuring that all of its US employees are legally eligible to be employed in the United States and refrains from discriminating against individuals on the basis of national origin or citizenship. Within three (3) days of being hired, QxBranch requires each employee submit a Form I-9 and utilizes E-Verify to confirm employment eligibility.

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