ZipRecruiter

Log In

1

Internship R Programming Language Jobs in Columbia, MD

Air

Implementation Engineer

Arlington, VA · On-site

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

Air

Implementation Engineer

Arlington, VA · On-site

Proficiency in at least one programming language - SQL, Python, or R - sufficient to write and ... or internships, performing national security-related analytics; preference for research ...

Jobsbridge

Senior Big Data Architect

Rockville, MD · On-site

$68.50 - $91.75/hr

... Programming language -- Java (must), Python, Scala, Ruby Batch processing -- Hadoop MapReduce ... R ETL BS in Computer Science or related area Software development experience Minimum 3-4 Year ...

Aegon

Actuarial Intern (Summer 2027)

Baltimore, MD · Hybrid

$24 - $29/hr

Knowledge of at least one computer programming language and/or Visual Basic * Knowledge of R ... Interns will work hybrid in Baltimore, MD, Cedar Rapids, IA, or Philadelphia, PA. Specific location ...

previous pagenext page

Showing results 21-40

All JobsR Programming Language JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Columbia, MD

Internship R Programming Language information

See Columbia, MD salary details

$9

$17

$23

How much do internship r programming language jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship r programming language in Columbia, MD is $17.17, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.09 per hour, depending on experience, location, and employer.

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What types of projects or tasks can I expect to work on during an R programming language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are popular job titles related to Internship R Programming Language jobs in Columbia, MD?

For Internship R Programming Language jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Internship R Programming Language jobs in Columbia, MD look for?

The top searched job categories for Internship R Programming Language jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Internship R Programming Language jobs?

Cities near Columbia, MD with the most Internship R Programming Language job openings:

Internship R Programming Language jobs near you
Infographic showing various Internship R Programming Language job openings in Columbia, MD as of July 2026, with employment types broken down into 2% Internship, 78% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,721 per year, or $17.2 per hour.

Operations Research / Systems Analyst (ORSA) - Optimization & Mathematical Programming

Hanover, MD • On-site

SMX
IT Services • 1 - 5K employees
Learn more about SMXexternal

$98K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago

Job description

The Operations Research (OR) Analyst - Optimization & Mathematical Programming Focus provides advanced optimization, resource allocation, and prescriptive analytics across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position formulates and solves complex mathematical programming problems that enable the Federal Agency to optimize resource deployment, prioritize competing requirements, and transition from reactive decision-making toward mathematically grounded, optimal resource allocation strategies.
Essential Duties and Responsibilities
Mathematical Optimization & Resource Allocation
  • Formulate real-world resource allocation problems as mathematical optimization models (linear programming, integer programming, mixed-integer programming)
  • Develop and implement optimization algorithms for complex assignment problems including adjudicator workload distribution, facility inspection scheduling, and investigator allocation
  • Apply constraint programming and heuristic methods to solve large-scale, computationally challenging optimization problems
  • Build decision support tools that enable operational leaders to explore tradeoffs and make resource deployment decisions with mathematical rigor

Strategic Analysis & Decision Support
  • Conduct cost-benefit analyses and apply mathematical programming techniques to optimize the distribution of personnel, budgetary, and operational resources across competing requirements
  • Apply risk-based optimization to prioritize facility assessments, case assignments, and inspection schedules based on threat levels and resource constraints
  • Perform trade-space analysis and sensitivity studies to understand how optimal solutions change under different assumptions, constraints, or objectives
  • Develop multi-objective optimization approaches that balance competing goals (speed, quality, cost, risk mitigation)

Model Development & Implementation
  • Utilize optimization solvers (Gurobi, CPLEX, or open-source alternatives like Pyomo, PuLP, OR-Tools) to implement and solve mathematical models
  • Validate optimization model outputs against historical operational data and subject matter expert judgment
  • Develop prescriptive analytics that recommend specific actions based on optimization results
  • Create scenario planning tools that allow decision-makers to explore "what-if" questions regarding resource allocation strategies

Collaboration & Communication
  • Work closely with modeling/simulation specialists to incorporate predictive analytics into optimization formulations
  • Partner with data engineering specialists to obtain empirically-grounded parameters, constraints, and objective function coefficients
  • Translate mathematical optimization results into clear, actionable recommendations for non-technical decision-makers
  • Present optimization approaches, tradeoff analyses, and recommendations to senior leadership
  • Participate in cross-functional team activities to maintain technical standards and share knowledge

Required Skills & Experience
  • 8+ years of progressive, hands-on operations research experience, including demonstrated application of mathematical optimization, resource allocation modeling, and prescriptive analytics to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level proficiency in mathematical optimization including linear programming, integer programming, and mixed-integer programming
  • Hands-on experience with optimization solvers (Gurobi, CPLEX, FICO Xpress, or open-source alternatives such as Pyomo, PuLP, OR-Tools, COIN-OR)
  • Demonstrated ability to formulate real-world problems as mathematical programs, including objective function design and constraint identification
  • Proven proficiency in an analytical programming language (Python or R), with emphasis on optimization modeling libraries
  • Experience with constraint programming and heuristic solution methods for large-scale or computationally difficult problems
  • Strong foundation in algorithm design, computational complexity, and solution methods
  • Ability to validate optimization models using operational data and communicate results to non-technical stakeholders
  • Experience working in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

Desired Skills & Experience
  • Advanced degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with nonlinear optimization and stochastic optimization techniques
  • Knowledge of multi-objective optimization and Pareto analysis
  • Network optimization and graph algorithms (shortest path, max flow, matching problems)
  • Experience with scheduling and routing problems (job shop scheduling, vehicle routing)
  • Familiarity with game theory and decision analysis under uncertainty
  • Knowledge of operations research software (AMPL, GAMS)
  • Data visualization tools (Tableau, Power BI) for communicating optimization results
  • SQL and database querying skills to support model parameterization
  • Knowledge of queueing theory and simulation to better integrate with modeling specialists
  • Experience with statistical modeling and risk analysis to inform optimization formulations

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$123,000-$206,000 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
SMX logo

About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

View All SMX Jobs

Apply