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

Eastport Analytics Inc

Data Scientist

Annapolis, MD · On-site

$103K - $120K/yr

Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R/SAS, Plotly, NoSQL) and data visualization tools such as Power BI and Excel. * Experience with ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$77K - $176K/yr

Work with us as we use data science for good. Join us. The world can't wait. You Have: * 1+ years of experience in statistics, operations research, or advanced mathematics * Experience with R or ...

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All JobsData Science R JobsInternship Data Science R JobsInternship Data Science R Jobs in Baltimore, MD

Internship Data Science R information

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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 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 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 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:
Internship Data Science R jobs near you
Senior Data Scientist (TS/SCI with Poly Required)

Senior Data Scientist (TS/SCI with Poly Required)

Red Alpha

Annapolis, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Description
A little about us:
Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed.
Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means...), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you.
A day in the life:
The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems.
In this role, you will work directly with intel analysts on a mission-critical cyber operations contract to develop prototypes and novel solutions necessary to drive actionable insights from very large data sets.
Successful candidates will have the following skills:
  • Data science and machine learning skills that deal with human behavior
  • Exploratory data analysis - examining data sets to find patterns and relationships
  • Basic knowledge of statistics
  • Basic knowledge of machine learning techniques for classificaiton and clustering
  • Comfortability working with very very large data sets (think billions of roles) which can't be easily visualized
  • Comfortability giving periodic presentations

What you bring to the table:
Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in.
All of our data scientists need the following skills:
  • Proficiency with a scripting language such as R or Python.
  • Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques...!) but you should be comfortable and capable with several of them and know some others not on this list.
  • A TS/SCI with Polygraph security clearance.

For this particular role, you will specifically need:
  • A B.S. Degree in Data Science, Mathematics, Computer Science or related field OR an A.A. Degree with 2 additional years of experience.
  • At least 10+ years of experience on Data Science projects with at least 3 years of experience managing teams.
  • Large dataset experience.
  • Strong familiarity with data science applications such as association analysis, graph/network analytics, clustering, text analytics, classification and regression (multivariate and logistic).
  • Training in the design and implementation of static and dynamic visualizations in R, Python, Tableau, or similar visualization software.
  • Experience with the following technologies:
  • - Apache Spark (Pyspark is heavily preferred)
  • - Jupyter Notebooks
  • - Microsoft Office
  • - Basic Linux command line familiarity
  • - Pandas Data Science Python Package

These are important skills to have, but not necessarily mandatory:
  • Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues.
  • Experience or exposure to Natural Language Processing (NLP).
  • Experience with Java, C, or other compiled languages.
  • Comprehensive knowledge of Saturday Night Live sketches (just kidding).
  • Experience with SQL/NoSQL, Spark, Hadoop.
  • Familiarity with Javascript and Scripting.
  • Familiarity with Docker, GitLab, and React.
The total package:
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information.
Salary Range:
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself.
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $160,000 - $235,000

Some of our additional perks and benefits include:
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested.
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forget free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements: $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships.
  • Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!

Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Apply