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Sas R Python Internship Jobs in Santa Clara, CA (NOW HIRING)

Development experience with Java, Scala, Flume, Python Cassandra Automic scheduler R/R studio, SAS experience a plus Presto Hbase Tableau or similar reporting/dash boarding tool Modeling and Data ...

Development experience with Java, Scala, Flume, Python Cassandra Automic scheduler R/R studio, SAS experience a plus Presto Hbase Tableau or similar reporting/dash boarding tool Modeling and Data ...

Senior Clinical Programmer

Palo Alto, CA · On-site

$145K - $156K/yr

Proficiency in R, with experience in other relevant programming languages (e.g., Python, SQL, SAS). * Comprehensive understanding of clinical trial processes, data flow, and clinical trial data ...

Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau. Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and ...

Perform high-end data analysis to support various business functions using data analytics tools (Python, R, SAS, and MS Excel). Design, maintain, and track portfolio key performance indicators and ...

Coding with SQL, Hive, Python/R, SAS, VBA, etc. * Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.

Performs complex statistical and data-mining analysis, using statistical tools like R, SAS and ... Python programming, to cleanse, integrate and evaluate large datasets. Functional Knowledge

These frameworks operate stand-alone (Python) and large tool software environment (Jython ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Sas R Python Internship information

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$9

$63

$90

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

As of Jul 10, 2026, the average hourly pay for sas r python internship in Santa Clara, CA is $63.56, according to ZipRecruiter salary data. Most workers in this role earn between $59.28 and $70.29 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 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 types of projects can I expect to work on during a SAS R Python internship, and how do these projects contribute to real business outcomes?

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 are the key skills and qualifications needed to thrive as a SAS R Python Intern, and why are they important?

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 cities near Santa Clara, CA are hiring for Sas R Python Internship jobs? Cities near Santa Clara, CA with the most Sas R Python Internship job openings:
Data Scientist-Direct Hire-6-Month Register

Data Scientist-Direct Hire-6-Month Register

US Department of the Treasury

San Jose, CA • On-site

$125K/yr

Other

Posted 9 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

229th of 675 rated public administrative organizations


Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other 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: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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