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Internship Data Science Physics Jobs in Rochester, NY

Master's or Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related ... Strong data-driven problem-solving skills using DOE, statistical analysis, SPC, 6-sigma, and FMEA ...

Integration Engineer

Hopewell, NY · On-site

$101K - $172K/yr

Master's or Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related ... Strong data-driven problem-solving skills using DOE, statistical analysis, SPC, 6-sigma, and FMEA ...

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Optical modeling and/or multi-physics modeling of optical components and systems. * Design and ...

... internships@fnal.gov. Why Fermilab: Fermilab is America's premier laboratory for particle physics ... We support discovery science experiments in Illinois and locations around the world, including deep ...

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Internship Data Science Physics information

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How much do internship data science physics jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for internship data science physics in Rochester, NY is $22.20, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Science Physics, and why are they important?

To thrive as an Internship Data Science Physics, you need a solid grounding in physics, mathematics, and programming, typically supported by progress toward a relevant degree. Familiarity with data analysis tools such as Python, MATLAB, or R, and experience using statistical or machine learning libraries are commonly expected. Strong problem-solving, analytical thinking, and effective communication skills help interns stand out in team-based research environments. These competencies ensure you can effectively analyze complex data, contribute to scientific discoveries, and present insights clearly.

What is the difference between Internship Data Science Physics vs Data Analyst Intern?

AspectInternship Data Science PhysicsData Analyst Intern
Required SkillsProgramming, data analysis, physics concepts, statistical methodsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, marketing departments
Industry UsageResearch, scientific computing, tech innovationBusiness intelligence, reporting, decision-making

Internship Data Science Physics focuses on applying data science skills within physics and research contexts, often involving scientific computing and experimental data. In contrast, Data Analyst Internships are centered on analyzing business data, creating reports, and supporting decision-making processes. Both roles require analytical skills and familiarity with data tools, but their environments and applications differ significantly.

What types of projects or tasks can I expect to work on during a Data Science Physics internship?

As a Data Science Physics intern, you can expect to work on projects that involve analyzing large datasets derived from physical experiments or simulations, developing predictive models, and visualizing complex phenomena. Typical tasks might include cleaning and preprocessing data, applying statistical or machine learning techniques, and collaborating with researchers to interpret results. You may also assist in automating data workflows or contributing to scientific publications, providing a dynamic and collaborative environment that bridges data science and physics.

What are Internship Data Science Physics positions?

Internship Data Science Physics positions are temporary roles designed for students or recent graduates with a background in physics who are interested in applying data science techniques to solve scientific and analytical problems. These internships typically involve working with large datasets, performing statistical analyses, building models, and interpreting results within a physics-related context. Interns gain hands-on experience with programming languages like Python or R, machine learning tools, and data visualization methods, often contributing to research or product development teams. These roles help bridge academic knowledge in physics with practical data science skills, preparing interns for careers in research, technology, or industry.
What are the most commonly searched types of Data Science Physics jobs in Rochester, NY? The most popular types of Data Science Physics jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Internship Data Science Physics jobs? Cities near Rochester, NY with the most Internship Data Science Physics job openings:
Manufacturing Integration Engineer

Manufacturing Integration Engineer

onsemi

Hopewell, NY • On-site

$75K - $120K/yr

Full-time

Re-posted 23 days ago


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


onsemi is seeking a Manufacturing Integration Engineer at our EFK Hopewell Junction site. We are a leading innovator in semiconductor technology, dedicated to advancing power electronics through cutting-edge research and development. We are seeking a talented and motivated Engineer to join our team and drive technology transfer and Manufacturability of next-generation discrete power FET technologies. This role offers high technical ownership, cross-functional visibility, and the opportunity to directly shape onsemi's future power device roadmap
Responsibilities
  • Technology transfer and manufacturability for onsemi's advanced nodes of discrete power FETs, with device architecture ownership from concept definition through qualification and high-volume manufacturing.
  • Partner with process module owners in the fab to optimize process windows, ensure device robustness, and resolve integration challenges.
  • Perform device characterization, electrical testing, and failure analysis to ensure compliance with specifications and customer requirements.
  • Drive structured root-cause analysis (DOE, 6-sigma, SPC, FMEA) for yield, reliability, or device-related issues, and implement sustainable corrective actions.
  • Collaborate with systems engineering, product engineering, packaging, and applications teams to integrate power FETs into system-level solutions and end-customer applications.
  • Present technical content in executive-level reviews

Qualifications
Qualifications
  • Master's or Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related field.
  • 2+ years of experience in semiconductor manufacturing, specifically with discrete power FETs (trench MOSFETs, superjunctions, or related structures).
  • Understanding of semiconductor physics, device reliability, and fabrication processes, including experience in 300mm fabrication.
  • Experience taking technologies from early manufacturing to high volume ramp.
  • Demonstrated ability to translate high-level objectives into actionable engineering plans and to drive projects independently.
  • Strong data-driven problem-solving skills using DOE, statistical analysis, SPC, 6-sigma, and FMEA methodologies.
  • Excellent communication skills with the ability to present complex technical topics clearly to both engineering and executive audiences.
  • Ability to manage multiple projects simultaneously in a fast-paced development environment
  • Prefer experience with post-wafer fab operations, including Back-Grind/Back Metallization, Packaging, Dicing and Singulation, and module construction.
  • Prefer experience with wafer level testing, ILT/WAT/PCM and Probe. Familiarity with package-level final testing, especially for discrete power devices

Salary: onsemi is excited to share the base salary range for this position is$75,300 to $120,400 exclusive of fringe benefits or potential bonuses.The final pay rate for the successful candidate will depend on geographic location, skills, education, experience, and/or consideration of internal equity of our current team members. We also offer a competitive benefits package. https://www.onsemi.com/site/pdf/Benefits-Summary-USA.pdf
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

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