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Internship Data Science R Jobs in Bethesda, MD (NOW HIRING)

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

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

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

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 ...

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

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 ...

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

... 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 ...

... 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 ...

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

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 ...

Showing results 21-40

Internship Data Science R information

See Bethesda, MD salary details

$12

$24

$45

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 Bethesda, MD is $24.09, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $26.25 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 are the most commonly searched types of Data Science R jobs in Bethesda, MD?

The most popular types of Data Science R jobs in Bethesda, MD are:

What cities near Bethesda, MD are hiring for Internship Data Science R jobs?

Cities near Bethesda, MD with the most Internship Data Science R job openings:

Infographic showing various Internship Data Science R job openings in Bethesda, MD as of July 2026, with employment types broken down into 67% Internship, and 33% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $50,098 per year, or $24.1 per hour.

Data Science Consultant (Hybrid)

Summit

Washington, DC • On-site

$90K - $110K/yr

Other

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description
Job Description
Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and private-sector clients. Our work in federal infrastructure finance, transaction advisory services, evidence-based program evaluation, modernization, and enforcement and litigation analytics helps make government effective for the public good.We are committed to fostering a collaborative workplace built on diverse perspectives, continuous learning, and trust. At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work.We are seeking a Data Science Consultant / Senior Data Science Consultant to join our team, which partners with clients to transform complex data into actionable insights through modern analytics, machine learning, and data-driven decision support. Successful candidates will be comfortable moving between exploratory data analysis, machine learning, cloud-based ETL development, and modern software development practices to deliver production-ready analytical solutions. Primary DutiesConduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex datasets.Ability to translate ambiguous business or policy questions into structured analytical approaches and actionable insights.Develop compelling data visualizations and communicate analytical findings through presentations, dashboards, and written summaries for technical and nontechnical audiences.Apply statistical methods and machine learning techniques to solve business and policy problems, including segmentation, predictive modeling, and pattern detection.Rapidly investigate emerging business questions through iterative data analysis and hypothesis testing.Design scalable, repeatable analytics and data engineering workflows that support production-ready analytical solutions.Mentor junior staff in data science and software development best practices.Contribute to technical responses for data science proposals. Minimum Technical RequirementsS. citizenship and ability to obtain a Public Trust clearance5+ years total experience in data science including data preprocessing, data visualization, statistical techniques and concepts, and data management.Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and visualization while validating results.4+ years of experience programming in Python and/or R, including the ability to review, modify, and validate code.2+ years of consulting experience with project management skills.Experience developing analytical solutions in cloud environments (e.g., AWS or Azure), including data storage, ETL pipelines, and cloud-based analytics services.Experience using version control (e.g., Git).Bachelor's degree. Preferred SkillsSQLExperience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena, Redshift, Azure Data Factory, etc.)Experience deploying and maintaining code using Git-based workflows and CI/CD (e.g. GitHub Actions, GitLab pipelines, Azure DevOps)Experience with machine learning techniques such as clustering, classification, or anomaly detectionExperience supporting data-driven decision making for government, regulatory, or policy organizationsTableau Compensation and BenefitsFull-Time Salary Range: $90,000-110,000This range reflects our market-based pay structure. Individual compensation is determined by factors including business needs, local market conditions, internal equity, and candidate qualifications (skills, education, experience).We support our employees' health, financial well-being, and work-life balance. Full-time employees are eligible for:Medical, dental, and vision insuranceHealth Savings Account (HSA) options401(k) with 4% employer matchDisability, life, and accident insuranceHolidays and generous paid time off, including to vote and volunteerPaid parental, military, bereavement, and applicable federal/state sick leave Our Hiring ProcessIf selected to move forward, you will:Participate in an initial behavioral phone screen with our recruiting team.Meet with staff members for a technical and collaborative interview.Complete a background check (if selected for further consideration).Work EnvironmentOur office is in the heart of Washington, DC's Chinatown neighborhood, with convenient access to public transportation. We operate in a hybrid model and provide an integration partner to support your onboarding and professional development.This position may require 2-3 days per week on site with our client in Washington, DC. How to ApplyTo ensure your application is reviewed, submit your résumé directly through our website at: www.summitllc.us/careersPlease do not email résumés. Accessibility and Equal OpportunitySummit is committed to accessibility for all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation or are unable to use or access our careers website, please contact us at peopleops@summitllc.us.Summit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law, where applicable. Those with criminal histories will be considered in accordance with applicable state and local laws. Equal Employment Opportunity (EEO) is the law. Click here to view information on your protections under federal law from discrimination.