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Sas R Python Internship Jobs in Chantilly, VA (NOW HIRING)

Biostatistician

Alexandria, VA · Remote

$60 - $100/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply

Biostatistician

Washington, DC · Remote

$60 - $100/hr

Role Title: Biostatistician Role Type: Contractor Location: Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply

Chart Your Journey at Secretariat From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat. ABOUT THE FIRM

Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of

Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of

Showing results 41-60

Sas R Python Internship information

See Chantilly, VA salary details

$8

$55

$79

How much do sas r python internship jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for sas r python internship in Chantilly, VA is $55.41, according to ZipRecruiter salary data. Most workers in this role earn between $51.68 and $61.30 per hour, depending on experience, location, and employer.

What is a SAS R Python internship?

A SAS R Python Internship is a temporary position designed for students or recent graduates to gain hands-on experience using statistical analysis and programming languages, specifically SAS, R, and Python. Interns typically work on data-driven projects, helping organizations analyze large datasets, develop predictive models, and automate data processes. This type of internship is common in industries like finance, healthcare, and tech, and is ideal for individuals interested in data science, analytics, or programming careers.

What are the key skills and qualifications needed to thrive as a SAS R Python intern?

To thrive as a SAS R Python Intern, you need a solid understanding of statistics, data analysis, and programming fundamentals, often supported by coursework or a degree in a quantitative field. Familiarity with statistical software like SAS, R, and Python, as well as data visualization and database tools, is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These skills are crucial for successfully analyzing data, drawing actionable insights, and contributing effectively to data-driven projects within an organization.

What types of projects can I expect to work on during a SAS R Python internship?

As a SAS R Python intern, you will typically work on data analysis, data cleaning, and developing predictive models using large datasets. Projects often involve collaborating with data scientists and business analysts to extract insights that drive decision-making, such as optimizing marketing campaigns or improving operational efficiency. These assignments allow you to apply statistical methods and programming skills in practical settings, directly supporting organizational goals. Interns also gain exposure to real-world data challenges and team-based problem-solving, making it a valuable stepping stone for future analytics roles.

What is the difference between Sas R Python Internship vs Data Analyst Internship?

AspectSas R Python InternshipData Analyst Internship
Required SkillsKnowledge of SAS, R, Python, data manipulationProficiency in Excel, SQL, basic statistical analysis
Work EnvironmentData-focused, analytics teams, tech companiesBusiness units, consulting firms, finance
Industry UsageCommon in healthcare, finance, techWidespread across industries including marketing and finance

Both internships involve data analysis skills, but Sas R Python Internships focus more on programming and statistical tools, while Data Analyst Internships emphasize business insights and reporting. The choice depends on whether you prefer technical programming or business-oriented analysis.

Supervisory Data Scientist

Camp Springs, MD • On-site

US Department of Homeland Security
Public Administration • 10K+ employees

$107K/yr

Full-time, Part-time

Posted 10 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


Job description

Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As a Supervisory Data Scientist, you will oversee and support USCIS HRIT initiatives by managing advanced data science projects, coordinating business systems, ensuring high-quality reporting and analytics, and providing strategic and operational support to HRIT Leadership.Qualifications:The qualifications for this position must be met by 11:59 PM (Eastern Time) on 09/08/2026.
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.

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
  • 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.
GS-14: You qualify at the GS-14 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-13 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 science, computer science, mathematics, and statistical methods to conduct complex analysis, support algorithm development, validate data sources, and develop business or technical recommendations.
  • Utilizing statistical tools, data platforms such as SAS, R, Python, SQL, Databricks, and similar technologies to query, transform, analyze, and report data from multiple sources.
  • Developing, evaluating, and improving data collection, and processing methodologies to support data integrity, analytical accuracy, and operational decision-making.
  • Managing data analytics, data architecture, dashboard, reporting, automation, or business process improvement initiatives that support organizational priorities, policy development, or strategic objectives.
  • Leading, supervising, or guiding staff or project teams performing data analysis, visualization, engineering, reporting, predictive modeling, or related data technology functions.
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 09/08/2026. 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 critical 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 experience.
Education:EDUCATIONAL SUBSTITUTION: There is no educational substitution at this grade level.
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.
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

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Benefits

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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