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

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Remote Data Analyst

San Jose, CA · Remote

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.

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab ... Fluency with at least one scripting language such as Python, Java, or C/C++. * Expertise with ...

Staffwing Inc

Lead Data Scientist

San Jose, CA

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab ... Fluency with at least one scripting language such as Python, Java, or C/C++. * Expertise with ...

Western Digital

Integration Engineer

San Jose, CA · On-site

$121K - $164K/yr

Analyze manufacturing and quality data using Python, R, and MATLAB to identify trends, optimize ... Internship or co-op experience in hardware, semiconductor, or storage engineering * Publications or ...

Western Digital

Integration Engineer

San Jose, CA · On-site

$121K - $164K/yr

Analyze manufacturing and quality data using Python, R, and MATLAB to identify trends, optimize ... Internship or co-op experience in hardware, semiconductor, or storage engineering * Publications or ...

Western Digital

Integration Engineer

San Jose, CA · On-site

$121K - $164K/yr

Analyze manufacturing and quality data using Python, R, and MATLAB to identify trends, optimize ... Internship or co-op experience in hardware, semiconductor, or storage engineering * Publications or ...

Western Digital

Integration Engineer

San Jose, CA · On-site

$119K - $159K/yr

Analyze manufacturing and quality data using Python, R, and MATLAB to identify trends, optimize ... Internship or co-op experience in hardware, semiconductor, or storage engineering * Publications or ...

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Sas R Python Internship information

See Santa Clara, CA salary details

$9

$63

$90

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

As of Aug 20, 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 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 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:

Sas R Python Internship jobs near you

2026 PhD Residency - Non-Linear Physical Dynamics & Device Characterization (Future of Compute)

X, the moonshot factory

Mountain View, CA • On-site

$100K - $147K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

2 0 2 6 P h D R e s i d e n c y - N o n - L i n e a r P h y s i c a l D y n a m i c s & D e v i c e C h a r a c t e r i z a t i o n ( F u t u r e o f C o m p u t e )
Internship Mountain View, CA
Project Goal:This is the flagship moonshot for 'The Future of Compute' at X (the Moonshot Factory). Our objective is to move away from the traditional paradigm of simulating physics on digital chips. Instead, we are building physical machines whose intrinsic dynamics ARE the computation itself, achieving a 1,000,000x improvement in useful compute per Joule.
This residency focuses on the raw physics of non-linear computing. By studying how nanoscale devices behave, synchronize, and drift in a laboratory environment, you will extract the physical laws that make our substrate inherently superior to passive systems. You will study how to harness non-linear dynamics and physical noise to build stable, room-temperature probabilistic computers, bridging microscopic device physics with high-level circuit design.
How you will make 10x impact:
  • Collaborate on the physical modeling and physical characterization of nanoscale devices (e.g., RRAM, carbon nanotube FETs, and phase-locked micro-oscillators), focusing on mapping their non-linear phase-locking dynamics and non-equilibrium thermodynamics.
  • Independently design and execute laboratory testing routines to characterize device-level non-linear activation functions, evaluating their suitability for physical neural network computation.
  • Perform high-resolution noise-spectroscopy and time-domain measurements to analyze 1/f noise, thermal fluctuations, and resistance drift under long-term continuous operation.
  • Analyze and model how ambient physical noise and stochastic thermal fluctuations can be harnessed as a computational resource for probabilistic computing (p-bits) and optimization, rather than suppressed.
  • Investigate the physical coupling and synchronization dynamics of small arrays of physical oscillators, characterizing the limits of multi-phase locking and synchronization stability.
  • Develop compact device behavioral models (e.g., Verilog-A, analytical Python equations) derived directly from physical measurements to update our circuit and system-level simulators.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded in an agile, confidential project team focused on physical exploration, challenging existing assumptions about noise, stability, and digital over-engineering.
  • Direct mentorship from experimental device physicists, materials scientists, and advanced measurement engineers.
  • Access to state-of-the-art semiconductor characterization labs and device probing equipment.

What you should have:
  • Currently enrolled in a PhD program in Physics, Applied Physics, Materials Science, Electrical Engineering (solid-state electronics focus), or a related STEM field.
  • Strong hands-on experience in the physical and electrical characterization of nanoscale devices (such as memristors/RRAM, nanoscale oscillators, or 2D materials) in a laboratory environment.
  • Proficiency in scripting automated measurements (Python/PyVISA, LabVIEW) and analyzing complex physical and time-series datasets.
  • Deep theoretical understanding of solid-state device physics, charge transport, noise processes, and non-equilibrium statistical mechanics.
  • Ability to translate physical device behavior into analytical, numerical, or compact models (e.g., Python, MATLAB, COMSOL, or Verilog-A).

It'd be great if you also had these:
  • Prior experience characterizing phase-locked coupled-oscillator networks, RF micro-oscillators, or stochastic/probabilistic circuits (p-bits).
  • Familiarity with carbon nanotube electronics, novel non-volatile memories, or advanced atomic-force microscopy (AFM/conductive-AFM).

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $100,000 - $147,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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