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

Senior Data Scientist

San Jose, CA ยท On-site

$132K - $187K/yr

Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis * Hands on experience with visualization tools like Tableau or Looker * Have a bias towards action in ...

IT Analyst

Palo Alto, CA ยท On-site

$80K - $100K/yr

Proficiency with relevant tools/languages (e.g., SQL, SAS, R, Python) and statistical-package support. * Familiarity with federal information-security requirements (FISMA, NIST, VA Handbook 6500) and ...

IT Analyst

Palo Alto, CA ยท On-site

$80K - $100K/yr

Proficiency with relevant tools/languages (e.g., SQL, SAS, R, Python) and statistical-package support. * Familiarity with federal information-security requirements (FISMA, NIST, VA Handbook 6500) and ...

Senior Data Scientist

San Jose, CA ยท On-site

$132K - $187K/yr

Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis * Hands on experience with visualization tools like Tableau or Looker * Have a bias towards action in ...

SAS, SPSS, R, Mahout Hands-on experience with BI tools and reporting software (e.g. Microstrategy ... Java, Linux, Apache, Perl/Python/PHP, Chef) Hands-on experience with ETL (Extract-Transform-Load ...

SAS, SPSS, R, Mahout Hands-on experience with BI tools and reporting software ( e.g. Microstrategy ... Java, Linux, Apache, Perl/Python/PHP, Chef ) Hands-on experience with ETL (Extract-Transform-Load ...

SAS, SPSS, R, Mahout Hands-on experience with BI tools and reporting software ( e.g. Microstrategy ... Java, Linux, Apache, Perl/Python/PHP, Chef ) Hands-on experience with ETL (Extract-Transform-Load ...

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Sas R Python Internship information

See Santa Clara, CA salary details

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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:
Senior Data Scientist

Senior Data Scientist

Roku

San Jose, CA โ€ข On-site

$132K - $187K/yr

Other

Medical, Life, PTO

Re-posted 28 days ago


Job description

About the team

The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting recommendations and personalization products. In this role, you will leverage data analytics to support and improve our recommendations and personalization initiatives, identifying trends, mitigating risks, and providing actionable insights. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise.

For California Only - The estimated annual salary for this position is between $132,000-$187,000 annually.ย  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.ย  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing
  • Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests
  • Translate complex analyses into clear executive narratives and dashboards, driving consensus on priorities and accelerating delivery across the board.
  • Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health
  • Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions
  • Develop necessary data pipelines to power automation, validation and reporting
  • Develop analytical tools (real-time alerts, models, etc.) to understand what drives success for our mobile platform
  • Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform
  • Collaborate with the Program Management and Engineering team to proactively seek and incorporate feedback
  • Providing feedback directly to leadership on performance of various initiatives and untapped opportunities
We're excited if you have
  • 5+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science)
  • 5+ years of experience across consumer product, digital media or entertainment industries
  • Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis
  • Hands on experience with visualization tools like Tableau or Looker
  • Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment
  • Hands on experience in A/B testing and statistical modeling/forecasting
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