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Internship Data Science R Jobs in Silver Spring, MD

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

Omniscius

Data Scientist

Washington, DC · On-site

$140 - $200/hr

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... data science roles • Strong proficiency with Python or R and SQL • Experience with statistical analysis, modeling, or machine learning techniques • Strong written and verbal communication ...

VTG

Data Scientist

Mclean, VA · On-site

... 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 ...

Elder Research

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

... science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data ...

RapidIT, Inc

Data Scientist

Vienna, VA · On-site

... science, statistics, and data analytics Ability to work with moderate to minimal supervision Strong programming abilities in SQL, Python, PySpark, R, or similar languages in data exploration, data ...

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AIToolboard

Data Scientist, Lead

Washington, DC · On-site

$120 - $190/hr

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 ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

Stryker

Data Science Intern - Remote

Rockville, MD · On-site

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Stryker

Data Science Intern - Remote

Adelphi, MD

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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Internship Data Science R information

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

As of Sep 4, 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 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 types of projects can I expect to work on during an internship data science 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 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 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 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

Omniscius Consulting

Washington, DC • On-site

Full-time

Re-posted yesterday

Key responsibilities

  • Design, develop, validate, and deploy machine learning models and statistical algorithms to identify financial crime patterns using BSA/AML transaction data.

  • Perform exploratory data analysis, feature engineering, statistical analysis, and model validation.

  • Collaborate with compliance analysts, investigators, and technical stakeholders to translate regulatory and investigative requirements into data analyses and analytical models.

Job description

Data Scientist

Location: Washington, DC
Work Arrangement: 100% Onsite – 5 Days per Week
Clearance: Active Top Secret with SCI Eligibility
Citizenship: U.S. Citizenship Required; No Dual Citizenship

Position Overview

Our client is seeking an experienced Data Scientist to support a U.S. Department of the Treasury Financial Crimes Enforcement Network (FinCEN) program in Washington, DC. This position will apply advanced data science, statistical modeling, and machine learning techniques to large-scale financial datasets in support of financial crime detection and analysis.

The ideal candidate will have strong hands-on experience with Python, R, machine learning, AWS cloud-native technologies, and large-scale data analysis. Experience working with Bank Secrecy Act (BSA), Anti-Money Laundering (AML), or related financial crime data is highly preferred.

Key Responsibilities

  • Design, develop, validate, and deploy machine learning models and statistical algorithms to identify financial crime patterns using BSA/AML transaction data.

  • Develop analytical approaches for detecting activities such as structuring, layering, smurfing, and other potentially suspicious financial behavior.

  • Perform exploratory data analysis, feature engineering, statistical analysis, and model validation.

  • Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies.

  • Use SQL to perform complex queries and analyze large-scale structured and unstructured datasets.

  • Work with data stored and processed through AWS services, including S3, PostgreSQL RDS, OpenSearch, Lambda, and related cloud-native technologies.

  • Collaborate with compliance analysts, investigators, and technical stakeholders to translate regulatory and investigative requirements into data analyses and analytical models.

  • Develop visualizations and communicate analytical findings to both technical and non-technical stakeholders.

  • Document data pipelines, analytical methodologies, model logic, assumptions, and findings in accordance with agency and organizational standards.

  • Participate in peer code reviews and contribute to best practices for reproducible, maintainable data science workflows.

  • Support continuous improvement of analytical models and methodologies used to identify financial crime risks and patterns.

Required Qualifications

  • 8+ years of overall professional experience.

  • 4–5+ years of professional experience working as a Data Scientist.

  • Strong experience with statistical modeling and machine learning.

  • Hands-on programming experience with Python and R.

  • Experience with Python data science tools and frameworks, including Jupyter Notebook, PySpark, and Pandas.

  • Strong SQL skills with experience performing complex queries against large datasets.

  • Hands-on experience with AWS cloud-native services such as S3, RDS, OpenSearch, and Lambda.

  • Experience analyzing large-scale structured and unstructured datasets.

  • Working knowledge of Bank Secrecy Act (BSA) data.

  • Ability to translate business, regulatory, and investigative requirements into analytical approaches and models.

  • Experience producing technical documentation and communicating analytical findings to diverse audiences.

  • Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.

Preferred Experience

  • Experience supporting FinCEN, the U.S. Department of the Treasury, or another Federal financial/regulatory organization.

  • Experience working with BSA/AML datasets.

  • Understanding of financial crime and Anti-Money Laundering methodologies.

  • Experience developing models designed to identify structuring, layering, smurfing, or other suspicious transaction patterns.

  • Experience collaborating directly with financial crime investigators, compliance analysts, or regulatory personnel.

  • Experience developing data science solutions within secure Federal environments.

Clearance & Citizenship Requirements

  • Must possess an active Top Secret clearance with eligibility for access to Sensitive Compartmented Information (SCI).

  • Interim clearances of any type will not be accepted.

  • Must be a U.S. Citizen.

  • Dual citizenship is not permitted for this position.

Work Location

This position is located in Washington, DC and requires onsite work five days per week. There is no telework or remote option.

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