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Data Science Intern Jobs in Silverton, OR (NOW HIRING)

2027 Intern - Technology

Salem, OR · On-site

$15 - $20.25/hr

Technology Intern Our technology interns work with corporations, governments and law firms to meet ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

Data Scientist 4

Tualatin, OR · On-site

$120 - $180/hr

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Bachelor's degree in engineering, quality, computer science, or related field; Master's preferred.

Power BI Intern

Salem, OR · On-site

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

ODHS Intern

Salem, OR · On-site

$15 - $20.25/hr

ODHS Intern Interns are an integral part of ODHS. There are a broad range of internship opportunities that help serve ODHS clients and staff. Interns are recruited and placed in jobs that help to ...

2025 - Summer Intern Co-op Conversion

Salem, OR · On-site

$15 - $20.25/hr

This requisition is for 2025 Summer Intern/Co-op Conversion candidates with assignment end dates from 7/1 - 9/30 to apply to be considered for the conversion process. There are two ways you can be ...

Human Services Intern

Salem, OR · On-site

$15 - $20.25/hr

Human Services Intern PROGRAM NAME/ HOAP / HOST / Hotline LOCATION: 694 Church St NE / 1143 Liberty St. NE / 1233 Edgewater St. NW EMPLOYMENT STATUS: Student/Volunteer SUPERVISOR: HOAP Program ...

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Data Science Intern information

See Silverton, OR salary details

$11

$22

$41

How much do data science intern jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data science intern in Silverton, OR is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What cities near Silverton, OR are hiring for Data Science Intern jobs?

Cities near Silverton, OR with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Silverton, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $46,224 per year, or $22.2 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Salem, OR • On-site

Other

Re-posted 4 days ago


Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity