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Data Scientist Machine Learning Jobs in Portland, OR

Impact Scale LLC

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Bachelor's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science ... Proven experience applying predictive analytics, advanced forecasting, or machine learning ...

SupportFinity™

Data Scientist 4

Tualatin, OR · On-site

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Strong expertise in advanced statistics, multivariate modeling, machine learning, and modeling of ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

Deep knowledge of and hands-on ability in data science and optimization methodologies, including classical models, artificial intelligence and machine learning algorithms, and linear and non-linear ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$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 ...

Honor

Staff Data Scientist

Portland, OR · Remote

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... You possess a strong foundation in traditional predictive machine learning (e.g., classification ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Portland, OR

Data Scientist Machine Learning information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

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

As of Sep 15, 2026, the average yearly pay for data scientist machine learning in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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 Data Scientist Machine Learning jobs in Portland, OR?

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

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

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

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Machine Learning / Computer Vision

Hillsboro, OR • On-site

Chabez Tech LLC
See more jobs at Chabez Tech LLCexternal

Other

Posted 10 days ago

Job description

Role: Machine Learning / Computer Vision

Location: Hillsboro OR - Onsite

Duration: 2 years Contract

 

We develop AI-powered semiconductor wafer inspection systems using computer vision and machine learning to analyze images at the limits of physical measurement.

 

Key Responsibilities

  • Build and train Computer Vision models for image classification, especially with imbalanced or poor-quality images.
  • Develop image embeddings, metric learning, and similarity/retrieval systems.
  • Build Few-Shot Learning / Cold-Start models using limited training data.
  • Implement model confidence, uncertainty, calibration, and anomaly/novelty detection so models avoid incorrect predictions.
  • Optimize ML models for fast and efficient inference, including GPU/edge environments.
  • Build and manage MLOps pipelines including model monitoring, drift detection, automated retraining, testing, and deployment.
  • Work closely with domain/subject-matter experts to understand real-world data and improve model performance.

Must-Have Skills

  • 5+ years of hands-on ML/Computer Vision experience.
  • Strong Python programming.
  • Strong experience with PyTorch or similar deep-learning frameworks.
  • Knowledge of modern Computer Vision architectures: CNNs, Vision Transformers (ViT).
  • Strong experience in at least 2 of the following:
    • Image Classification / Detection
    • Metric Learning / Embeddings / Similarity Search
    • Few-Shot / Self-Supervised Learning
    • Model Calibration / Uncertainty / Novelty Detection
    • MLOps / Model Lifecycle
  • Strong understanding of model validation, experimentation, and data quality.

Experience working with large, messy, or domain-specific datasets.

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