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Intern Data Scientist Machine Learning Jobs in Oregon

Intel Foundry Statistics and Data Science team's mission is to drive statistically sound ... Use predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis ...

New

Machine Learning Scientist 5 - Ad Ranking

OR · On-site +1

$466K - $750K/yr

The Ad Ranking team within the Ads Data Science and Engineering organization is the central ... Design and implement machine learning and optimization algorithms to improve ad quality and ...

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Collaborate closely with product managers, data scientists, and other engineers to deeply ... Intern experience in related roles. * Experience with large language models and generative AI, both ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Machine Learning Engineer - Ads

OR · On-site +1

$205K - $355K/yr

Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the ... You will work closely with the Product and Data Science teams on a daily basis. Finally, you will ...

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... You will build multimodal AI systems that integrate imaging, molecular, and clinical data ...

Partner with data scientists to troubleshoot and optimize complex data pipelines * Work with product managers and business partners to gather requirements for machine learning models * Build model ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Improve financial forecasting through statistical modeling, machine learning, driver-based ...

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Improve financial forecasting through statistical modeling, machine learning, driver-based ...

Applied Scientist

OR · On-site +1

Experience applying statistical and machine learning methods to modeling or data science problems. * Experience using Python for data analysis, data preparation, and machine learning model ...

Senior Data Scientist

Portland, OR · On-site

$166K - $250K/yr

To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This team is responsible not only for detecting, monitoring, and mitigating both first- and third-party ...

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As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

Showing results 41-60

Intern Data Scientist Machine Learning information

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 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 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 Oregon?

The most popular types of Data Scientist Machine Learning jobs in Oregon are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Oregon?

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

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

The top searched job categories for Intern Data Scientist Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Intern Data Scientist Machine Learning jobs?

Cities in Oregon with the most Intern Data Scientist Machine Learning job openings:

Infographic showing various Intern Data Scientist Machine Learning job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Energy Supply Data Scientist (I&II)

Portland, OR • On-site

PacifiCorp
Utilities • 5 - 10K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


PacifiCorp rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

POWER YOUR GREATNESS

PacifiCorp is seeking customer-centric candidates to grow and sustain our commitment to a culture of customer service excellence, environmental sustainability, inclusion and belonging.

General Purpose

PacifiCorp serves 2.1 million customers across six western states and, as of May 1, 2026, became the first participant in the Extended Day-Ahead Market (EDAM) alongside the California ISO. Committing generation and scheduling transmission a day in advance across an optimized regional footprint produces operational and market data at a volume and granularity beyond what conventional analysis can support. This position exists to convert that data into better decisions about how PacifiCorp bids, commits its generation fleet, schedules transmission, and manages its position between the day-ahead and real-time markets.

The incumbent provides technical support on complex and business-critical projects across Energy Supply Management, working with loads and weather, battery storage, renewable, and thermal generation performance, transmission availability and congestion, market prices, bids and settlements. The impact of the role is measured in the quality of decisions it improves: explaining and reducing deviations between day-ahead positions and real-time outcomes, strengthening load and generation forecasts, quantifying the cost of resource and transmission choices, and delivering production-grade analytics that generation operators, traders and planners rely on daily. Better information at these decision points lowers net power costs for customers, supports reliable operations, and substantiates PacifiCorp's positions in regulatory and market policy forums. 

This position is available at multiple levels.  Applicants will be considered for the level that best matches their education and experience. 

Responsibilities

Responsibilities of the Data Scientist I & II include the following:

  • Create data mining models to identify and mine data from reliable internal and external sources.
  • Develop and apply custom data models and algorithms to large data sets.
  • Design tools and testing models to ensure data accuracy.
  • Perform statistical reporting and create data analysis methodologies to identify trends in large data sets.
  • Collaborate with grid operations, finance and regulatory teams to analyze problems, identify issues, innovate and deliver solutions consistent with schedules established and improve business outcomes.
  • Provide technical expertise across business to support functions such as load forecast, energy day ahead trading. 
  • Research and apply emerging data science techniques to develop tools and analysis for informed business decisions in Energy Supply Management.
  • Create and present reports with detailed findings, recommendations and solutions.
  • Glean insights from the data to inform and improve market participation, near- and long-term resource planning, energy trading strategies.
  • Gather, document and manage business use cases and business requirements.
  • Support data literacy and scripting knowledge development across the team.
  • Participate in government, industry and other applicable associations or work groups which have the ability to influence or set policy impacting the future of our utility.
Requirements

Requirements of the Data Scientist I position include the following:

  • Bachelor's degree in Engineering, Analytics, Data Science, Math, Statistics, Physics or related field; or the equivalent combination of education and experience.
  • Knowledge of C, C++, Java, JavaScript, Python, R, SQL 
  • Knowledge of platforms such as MapReduce, Hadoop, Hive, MySQL, etc 
  • Proven ability to connect the dots from the data to the business solution 
  • Proficient technical writing and public speaking skills
  • Strong problem-solving skills
  • Familiarity with machine learning techniques 
  • Strong problem-solving skills.
  • Ability to work cross functionally and support multiple departments.
  • Knowledge of industry best practices for data science and data governance. 
     

In addition to the above, the Data Scientist II requirements include the following:

  • A minimum of 3 years of related professional experience.
  • Experience using C, C++, Java, JavaScript, Python, R, SQL 
  • Experience using platforms such as MapReduce, Hadoop, Hive, MySQL, etc 
  • Experience with business intelligence and data analytics tools such as Power BI and Tableau 
  • Hands-on experience with MLOps practices, including CI/CD pipelines, model deployment, monitoring, and versioning. 
  • Experience with cloud services and platforms like AWS, GCP, or Azure for deploying and managing ML models, specifically using Azure Databricks, Azure Machine Learning Studio, Azure Data Factory
  • Experience using Azure DevOps and Git for version control
  • Experience in story-telling through the use of data  
Preferences
  • Master's in data science or related technical field.
  • Understanding of generation dispatch, transmission, and organized wholesale markets
  • Understanding of business intelligence and data analytics tools such as Power BI and Tableau 
Benefits

At PacifiCorp, we understand that living a healthy lifestyle isn't just about your physical health - your mental, financial, and social wellbeing also play an important role. That's why we offer a wide range of benefits designed to help you live a more balanced lifestyle.


Our benefits include: 

  • Medical, dental, and vision insurance
  • 401k with match fixed contributions, including a Roth and saving option. For union employees, matching contributions vary by union. For nonunion, PacifiCorp makes a fixed contribution equal to 4% of your eligible pay each year for new hires. In addition, PacifiCorp matches 100% of the first 6% you contribute.
  • Life insurance
  • Additional voluntary benefits, including pet insurance
  • Tuition Assistance
  • Mass Transit Pass for employees in our Portland and Salt Lake City Offices.


Work Life Balance

  • Generous Paid Time Off (PTO) - Time off varies by employee type (Union or Non-Union)
  • Paid short-term disability leave and long-term disability insurance
  • Paid Parental Leave
  • Paid Bereavement Leave 
  • Employee Assistance Program supporting mental and emotional wellbeing


For more information, please visit: https://careers.pacificorp.com/content/New-Benefits-Page/?locale=en_US

Additional Information

Req Id: 115028 
Company Code: PACIFICORP  #PM25
Primary Location: PORTLAND  100% ONSITE   
Department: Power Supply 
Schedule: FULL TIME 
Personnel Subarea: Exempt

Hiring Range: $77,200 - $122,100

Employees must be able to perform the essential functions of the position with or without an accommodation.

PacifiCorp is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, medical condition, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

Unless otherwise required by law, all offers of employment are contingent upon the successful completion of a background check and drug screening including for marijuana. While marijuana is legal in several states, including Oregon, a positive test for positions in Oregon may disqualify a candidate. The company complies with the laws of Washington and California and only obtains and considers positive tests for marijuana in safety-sensitive positions or those covered by U.S. Department of Transportation regulations.


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