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Sas R Python Internship Jobs in District of Columbia

Infojini Inc

Linux Systems Engineer

Washington, DC

Centrify, LDAP, Kerberos and Active Directory Scripting using Python Analytics Computing: SAS, R, Stata, MatLab Additional Information All your information will be kept confidential according to EEO ...

Fticonsulting

2027 Analysts - US

Washington, DC · On-site

$105K/yr

Significant coursework in economics, finance, mathematics, statistics, data science, or other quantitative fields Introductory knowledge of Stata, SAS, R, Python or other statistical software Strong ...

New

Secretariat

Senior Associate, Antitrust

Washington, DC · On-site

$17 - $20.50/hr

... SAS, R, Microsoft Excel, or Python). Senior Associates' responsibilities may include: * Building quantitative models using financial and/or data applications * Identifying and synthesizing research ...

Secretariat

Senior Associate, Antitrust

Washington, DC · On-site

$100K - $120K/yr

... SAS, R, Microsoft Excel, or Python). Senior Associates' responsibilities may include: * Building quantitative models using financial and/or data applications * Identifying and synthesizing research ...

Analytica

Data Scientist - NLP

Washington, DC · On-site

$90 - $130/hr

High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling. * At least four ...

AEI

Fall Intern: Housing Center

Washington, DC · On-site

$17 - $22.50/hr

Interns will also gain exposure to the use of AI tools in a research and policy environment. The ... Python, R, Java, or SAS, is preferred but not required. Applicants should be available to ...

Thinkbrg

Fall 2027 Advisory Associate

Washington, DC · On-site

Experience: 0-2 years of work experience, including internships. * Technical Skills: Proficiency in Excel is required; experience with MS SQL Server, R, Python, Stata, SAS, Tableau, Snowflake ...

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Sas R Python Internship information

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.

What are the most commonly searched types of Sas R Python jobs in District of Columbia?

The most popular types of Sas R Python jobs in District of Columbia are:

Sas R Python Internship jobs near you

Health Analytics and Application Developer (Hybrid)

Washington, DC • On-site

Summit Consulting, LLC
See more jobs at Summit Consulting, LLCexternal

$80 - $105/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Health Analytics and Application Developer

Location: Washington, DC Area

We currently have an opening for a Health Analytics and Application Developer to support Summit's work with the federal government. This position will sit at the intersection of health claims investigations, statistical analysis, and full-stack application development. The ideal candidate will bring skills in statistical sampling, modeling, and data analysis using SAS, Python, or R along with a commensurate background in web application development.

Summit Consulting LLC is a quantitative and qualitative analysis firm that uses economics, statistics, and data science to solve problems for federal and private-sector clients. Our services in federal infrastructure finance, evidence-based program evaluation, program and business modernization, and enforcement analytics help make government effective and society just.

Primary Duties
  • Develop, test, maintain, and enhance analytical tools and web-based applications used by federal staff
  • Support full-stack application development using modern frameworks and technologies
  • Participate in requirements gathering and translate user needs into technical specifications, business rules, application features, and testable acceptance criteria
  • Perform code reviews, debugging, unit testing, and quality assurance testing for analytical applications
  • Create and maintain technical documentation, user documentation, and development notes
  • Support deployment planning, application troubleshooting, user acceptance testing, and production monitoring
  • Work with structured datasets to support statistical sampling, data validation, and investigative analysis
  • Assist with casework requiring SAS, Python, R, or related statistical programming tools
  • Help design and implement reproducible workflows for data cleaning, analysis, and quality control
  • Collaborate with project managers, developers, analysts, and client stakeholders to prioritize work and deliver high-quality products
  • Support training, demonstrations, and user support for analytical tools and data products
Minimum Technical Requirements
  • 5+ years professional experience in application development, data analytics, and statistical programming
  • Bachelor's degree in computer science, data science, statistics, mathematics, economics, information systems, engineering, or a related field
  • Experience reviewing/analyzing health claims data
  • Experience developing, testing, and maintaining web applications or analytical tools
  • Experience with app development technologies and languages, including React, JavaScript/TypeScript, Python, REST APIs, SQL, and relational databases
  • Experience using Git, GitHub, and GitLab
  • Experience writing/debugging/testing clean, well-documented, reproducible code
  • Experience developing or supporting software testing, QA/QC processes, unit testing, user acceptance testing, and code review workflows
  • Experience performing data cleaning, data validation, data analysis, and statistical programming in SAS, R, Python, SQL, or similar tools
  • U.S. citizenship and ability to obtain a public trust clearance
Preferred Skills and Experience
  • Experience working with health claims data, Form 5500 data, or other large administrative datasets
  • SAS certification or demonstrated professional SAS programming experience
  • Experience building web applications with React and Python
  • Experience supporting federal government clients
  • Experience creating technical documentation and user guides
Compensation and Benefits

Full-Time Salary Range: $80,000-105,000

Full-time employees are eligible for the following benefits: medical, dental, and vision insurance; health savings account (HSA) options; 401(k) with 4% employer match; disability, life, and accident insurance; holidays and generous paid time off, including to vote and volunteer; paid parental, military, bereavement, and applicable federal/state sick leave. We also provide flexible work arrangements and the office is located in DC's Chinatown neighborhood, offering convenient public transportation.

EEO Statement

Summit is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status. EEO is the law. Click here to view information on your protections under federal law from discrimination.

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