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Data Science R Jobs in Maryland (NOW HIRING)

Axle

Data Scientist II

Rockville, MD

Data Science and Bioinformatics Expertise: Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience with at least two omics data types (e.g., bulk RNA-seq ...

Phase2 Technology

$77.60 - $176/hr

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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Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Maryland?

The most popular types of Data Science R jobs in Maryland are:

What are popular job titles related to Data Science R jobs in Maryland?

For Data Science R jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Maryland look for?

The top searched job categories for Data Science R jobs in Maryland are:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

DATA SCIENTIST

US Department of Homeland Security

Camp Springs, MD • On-site

$102K/yr

Full-time

Posted 9 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

97th of 294 rated public sector bodies

Job description

Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As an DATA SCIENTIST, you will gather and analyze facts, determine the accuracy of data, apply technical proficiency in using current software functionality, and research ways to improve production and/or increase the quality of the work product.Qualifications:The qualifications for this position must be met by 11:59 PM (Eastern Time) on 08/14/2026.
Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
This announcement is issued under the Direct Hire Authority to recruit for positions for which the Department of Homeland Security, U.S. Citizenship and Immigration Services, has a critical hiring need.
Application Limit: This vacancy is limited to the first 75 applications received. All applications received prior to midnight 11:59 PM (ET) of the day the application limit is reached will be accepted and considered. If the application limit is not reached by the closing date of the announcement, all applications received during the open period will be considered. Any required documents must be submitted at the time that you apply as documents will not be accepted past the day the application limit is reached, if applicable. If you choose to edit your application after it has been submitted, it will be removed from consideration until you re-submit your application. The date your application is last submitted will be used to determine whether you meet the cut-off criteria.
Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate)
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
  • B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
Selective Placement Factor: You must have experience working with programming languages such as: SQL, R, Python, SAS, SPSS or Stata to conduct statistical analyses, query or integrate data sets?. This experience must be documented in your resume. Failure to do so may result in an ineligible rating.
GS-12: You qualify at the GS-12 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-11 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties:
  • Applying data mining techniques to analyze datasets and extract actionable insights for decision-making;
  • Implementing data models to support program objectives and improve operational efficiency;
  • Communicating technical findings and data-driven recommendations to both technical and non-technical stakeholders; and,
  • Utilizing programming languages (such as Python, R, or SQL) and data visualization tools (such as Tableau or Power BI) to manipulate, analyze, and present large volumes of structured and unstructured data.
GS-13: You qualify at the GS-13 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-12 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties:
  • Leading the design and implementation of statistical models, machine learning algorithms, or data mining solutions to address organizational challenges;
  • Managing data science projects, coordinating team activities, and ensuring timely delivery of analytical products;
  • Advising senior leadership and stakeholders on data-driven strategies, presenting complex technical findings in actionable terms; and,
  • Developing and maintaining automated data pipelines or analytical tools using programming languages (such as Python, R, or SQL) and advanced data visualization platforms (such as Tableau or Power BI) to support large-scale data analysis and reporting.
Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 08/14/2026

.

You must upload your resume under the "Resume" category. Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement. Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions.
Please ensure EACH work history includes ALL of the following information:
  • Job Title (include series and grade if Federal Job)
  • Duties (be specific in describing your duties)
  • Employer's name and address
  • Supervisor name and phone number
  • Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008)
  • Start and end dates for each grade/pay level if you've held a federal position.
  • Full-time or part-time status (include hours worked per week)
  • Salary
Determining length of General or Specialized Experience is dependent on the above information and failure to provide the above information may result in a finding of ineligible.
Note: Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Federal Experience: If you are using current or prior federal experience as a basis for qualifying for this position, the grade levels and length of employment (mm/dd/year) at each grade level must be listed in your work history. This information will be further validated if selected for this position.
National Service Experience (i.e., volunteer experience): Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build criteria competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer service.
Education:EDUCATIONAL SUBSTITUTION: There is no educational substitution at these grade levels.
Basic Education Requirement: You must submit a copy of your college transcript(s) (unofficial is acceptable) to support the basic educational requirement or a list of coursework with hours completed. For verification purposes, the transcript submitted must include your name and educational institution.

The Fraud Detection and National Security Directorate (FDNS) was established within USCIS to strengthen national security and the integrity of the country's legal immigration system by closely aligning the adjudication of immigration benefits and services with the identification of potential threats to national security and/or public safety, the detection and deterrence of fraud, and the use of law enforcement and intelligence information to ensure optimal security for U.S. communities. FDNS systematically identifies updates, and records indicators of fraudulent activities; manages fraud cases; identifies vulnerabilities and other weaknesses that compromise the integrity of the legal immigration system; and coordinates and provides logistical support in law enforcement and national security matters. FDNS is the primary conduit for information sharing and collaboration with law enforcement and intelligence agencies.
Voluntary Separation Incentive Payment (VSIP): Per 5 CFR 576.202, An employee who receives a Voluntary Separation Incentive Payment (VSIP) and later accepts employment for compensation with the Government of the United States within 5 years of the date of the separation on which the VSIP is based, including work under a personal services contract or other direct contract, must repay the entire amount of the VSIP to the agency that paid it (proof of payment is required) before the individual's first day of reemployment.

Employment Type: OTHER

What U.S. Department Of Homeland Security employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

U.S. Department of Homeland Security logo

About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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