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

Executing and contributing technical expertise across multiple data science and analytic ... Python, R, SQL, or similar). Preferred Qualifications: * Experience developing, deploying, and ...

Executing and contributing technical expertise across multiple data science and analytic ... Python, R, SQL, or similar). Preferred Qualifications: * Experience developing, deploying, and ...

Executing and contributing technical expertise across multiple data science and analytic ... Python, R, SQL, or similar). Preferred Qualifications: * Experience developing, deploying, and ...

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

BA/BS in Math, Statistics, Engineering, Computer Science, or related field * Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of and experience with ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Proficiency in data science languages: R and/or Python * Experience with data visualization tools: Microsoft Power BI and/or Tableau * Strong analytical and problem-solving skills with the ability to ...

Proficiency in data science languages: R and/or Python * Experience with data visualization tools: Microsoft Power BI and/or Tableau * Strong analytical and problem-solving skills with the ability to ...

Proficiency in data science languages: R and/or Python * Experience with data visualization tools: Microsoft Power BI and/or Tableau * Strong analytical and problem-solving skills with the ability to ...

Showing results 41-60

Internship Data Science R information

See Baltimore, MD salary details

$11

$22

$41

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 Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 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 Baltimore, MD?

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

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

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

Data Scientist

MANTECH

Fort George G Meade, MD • On-site

Full-time

Posted 8 days ago


ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

MANTECH seeks a motivated, career and customer-oriented Data Scientist in Fort Meade, MD, to drive cutting-edge statistical analytics and cloud-based data solutions for national security objectives.

In this role, you will collaborate with subject matter experts and customers to guide analytic development from prototype to production, delivering high-value data-driven insights while laying the groundwork for the future integration of machine learning into mission operations.

Responsibilities include but are not limited to:

  • Executing and contributing technical expertise across multiple data science and analytic development efforts in a secure cloud environment.
  • Collaborating with customers, intelligence analysts, and Subject Matter Experts to align analytic requirements with mission goals.
  • Prototyping and transitioning data pipelines and advanced analytics into scalable, operational environments.
  • Applying statistical modeling, data analysis, and graph-based approaches to complex datasets, preparing workflows for future machine learning applications.
  • Managing individual analytic tasks and delivering high-quality technical work to meet project objectives.

Minimum Qualifications:

  • Bachelor’s degree in quantitative or technical field (e.g., statistics, mathematics, operations research, engineering, computer science, data science, physics, or related discipline) or 4 additional years of direct relevant experience in lieu of a degree.
  • 7+ years of experience in a Data Scientist, Data Engineer, Data Analyst, or related technical role.
  • 7+ years of experience working with standard data analysis tools, frameworks, or languages (such as Python, R, SQL, or similar).

Preferred Qualifications:

  • Experience developing, deploying, and maintaining data workflows, pipelines, and analytic prototypes within secure cloud infrastructure.
  • Practical knowledge of advanced statistical modeling and foundational machine learning techniques, with familiarity in containerization and modern Machine Learning Operations (MLOps) to support the team's evolving machine learning roadmap.

Clearance Requirements:

  • Active TS/SCI with Polygraph.

Physical Requirements:

  • Must be able to remain in a stationary position 50% of the time.
  • Constantly operates a computer and other office productivity equipment.
  • Frequently communicates with coworkers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

What ManTech employees say

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