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

BOOZ, ALLEN & HAMILTON, INC.

Data Scientist

Bowie, MD · On-site

$112K - $257K/yr

You Have: * 5+ years of experience using data science programming languages, such as Python or R * Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and ...

AgileEngine

Data Scientist ID71658

Baltimore, MD · On-site

The role requires 6+ years of data science experience applied specifically to cybersecurity ... R , and SQL ; - Experience with machine learning frameworks ( TensorFlow , PyTorch ) and data ...

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 ...

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

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 Jul 3, 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
Applied Data Scientist Internship (DoW SkillBridge)

Applied Data Scientist Internship (DoW SkillBridge)

IntelliGenesis

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Be an early applicant

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
 

Eligibility Requirements:

  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

  • 90-180 days

Requirements:

  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas: 
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation. 
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries 
  • Experience/knowledge of computer science concepts

Desired Skills:

  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force – (1N4)
    • Marine – (2611, 2629)
    • Army – (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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