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Intern Data Scientist Machine Learning Jobs in Portland, OR

AI & GenAI Data Scientist-Director

Portland, OR · On-site

$155K - $410K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Leading the design and development of AI and Machine Learning solutions to ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Principal Data Scientist

Portland, OR · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Position The Principal Data Scientist is a member of the Data & Analytics (D&A) team ... Hands‑on quantitative experience in data mining, predictive modeling, machine learning, and ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

  • Medical

  • Retirement

  • PTO

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics. Performing yield ...

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

  • Medical

  • Retirement

  • PTO

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Showing results 21-40

Intern Data Scientist Machine Learning information

See Portland, OR salary details

$27K

$45.2K

$93.3K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for intern data scientist machine learning in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Portland, OR?

The most popular types of Data Scientist Machine Learning jobs in Portland, OR are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Portland, OR?

For Intern Data Scientist Machine Learning jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in Portland, OR look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Portland, OR are:

Infographic showing various Intern Data Scientist Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $45,160 per year, or $21.7 per hour.

Supervisory Data Scientist

U.S. Department of Energy (DOE)

Portland, OR • On-site

$135K/yr

Full-time

Posted 10 days ago


U.S. Department Of Energy rating

8.8

Company rating: 8.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

145th of 846 rated public administrative organizations


Job description

This position is in the Data Analytics department (MOG) in the Office of Operational Performance (MO) under the Chief Operating Officer (K), Bonneville Power Administration (BPA).
This position serves as BPA's Analytics Officer, supervising advanced data analytics, data science, and machine learning. The incumbent manages the enterprise program and team, performing technical and consultative services supporting BPA agency-wide, while aligning with the Bureau, components, and federal partners.

Qualifications:

BASIC REQUIREMENT:
A. Degree:
Mathematics, statistics, computer science, data science or 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 -
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
SPECIALIZED EXPERIENCE REQUIREMENTS:
A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-13) in the Federal service.
Specialized experience for this position is defined as: 1) Experience managing an enterprise data science program, including establishing strategic plans, formulating data policies, allocating resources, and coordinating initiatives with external partners; 2) Experience advising executives on the governance and deployment of complex data science platforms and analytical infrastructure across the entire data life cycle; and 3) Experience directing highly complex data science and machine learning projects using predictive modeling, natural language processing, and advanced statistics to automate business processes.

"Experience" refers to paid and unpaid experience. Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations. Volunteer work helps build critical competencies, knowledge, and skills; and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Time-in-Grade: Current Federal employees must meet time-in-grade requirements by the closing date of this announcement to receive consideration.
CTAP/ICTAP candidates: To be considered "well qualified" you must meet all of the requirements as described in this section.
You must meet all qualifications and eligibility requirements by the closing date of this announcement.

Education:

This vacancy has a positive education requirement. In order to be rated as qualified, you must provide copies of your college transcripts. Education must be obtained from an accredited institution recognized by the U.S. Department of Education. See Department of Education Accreditation Search to verify school accreditation.

Foreign education must be reviewed by an organization recognized by the U.S. Department of Education. For special instructions pertaining to foreign education and a list of organizations that can evaluate foreign education, see the Department of Education website.
DO NOT email or mail in any of your application documents. Documents will not be accepted outside of the online application system.
Failure to provide copies of your college transcripts may result in a rating of "Ineligible".
Employment Type: OTHER

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