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

This position is located within the U.S. Department of State, Office of the Executive Director, Information Technology and Analytics Division (OIG/EX/IT). The position serves as a senior Data Analyst

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Senior Systems Engineer with hands-on experience in deploying, configuring, maintaining and supporting the Linux environment. The candidate will be responsible for performing the following tasks:

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

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

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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.

US Department of State
National Security and International Affairs • 10K+ employees

$143K/yr

Full-time

Posted 2 days ago

New


Job description

This position is located within the U.S. Department of State, Office of the Executive Director, Information Technology and Analytics Division (OIG/EX/IT). The position serves as a senior Data Analyst and subject-matter expert responsible for leading
complex analytical, evaluative, and data-driven work that supports OIG audits, inspections, evaluations and internal operations.

Qualifications:

Applicants must meet all the required qualification requirements described below by the closing date of this announcement. 

 NOTE: Applicants must meet time-in-grade and time after competitive appointment requirements, by the closing date of this announcement.

Time-In-Grade Requirements: Federal applicants must have served 52 weeks at the next lower grade to satisfy time-in-grade restrictions, per 5CFR 300, Subpart F.

Applicants must have 1 year of specialized experience equivalent to the GS-13 level in the Federal service which provided the applicant with the particular knowledge, skills and abilities to perform the duties of the position.

Qualifying specialized experience must demonstrate the following:

  • Experience with broad autonomy contributing to the development of data governance, data quality, and data modernization strategies.
  • Experience in leading complex analytical, evaluative, and data-driven work that supports audits, inspections, evaluations, and internal operations. 
  • Experience in programming languages such as SAS, R, Python, SQL, and use of visualization tools.

There is no substitute of education for specialized experience for the GS-14 position.

Education:

Education requirements do not apply to this vacancy announcement.

Employment Type: OTHER