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Data Scientist Machine Learning Jobs in Oregon (NOW HIRING)

Data Scientist

OR ยท On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

Lead Data Scientist

OR ยท Remote

Stay current on advances in data science, machine learning, and generative AI. * Mentor junior data scientists and engineers. * Communicate clearly with stakeholders, presenting insights and ...

Data Scientist

OR ยท On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) years of equivalent experience in machine learning and predictive modeling. * Proposed personnel ...

$99.61K - $136.96K/yr

Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration * Develop, train, and deploy ML models for Time-series ...

Senior Data Scientist

OR ยท On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field. * 5+ years of ...

OR ยท On-site

As a Senior Data Scientist in Allstate's AI Risk, Governance and Research area, you'll be ... Uses best practices to develop complex statistical, machine learning techniques to build models ...

OR

$466K - $750K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...

OR

$466K - $750K/yr

Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR ยท On-site

$121.67K - $167.30K/yr

Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration * Develop, train, and deploy ML models for Time-series ...

Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered. * Experience: 2-4 years of experience ...

OR

$114.40K - $137.40K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent practical experience. * Proven experience with Google Cloud Document AI (Custom ...

Overview The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world ... using machine learning and Artificial Intelligence techniques. * Develop an exploratory data ...

OR ยท On-site

ServiceTitan is looking for a Senior Data Scientist to join our team and play a pivotal role in ... You'll leverage your expertise in machine learning and generative AI to identify inefficiencies ...

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role ... Translate business and data science requirements into scalable technical and MLOps solutions that ...

You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and ...

OR

$135K - $225K/yr

The Senior Data Scientist, Life Sciences Technology Solutions, is responsible for designing ... Design and develop data products and machine learning models embedded within client-facing ...

The Senior Data Scientist will lead the application of advanced analytics and applied data science ... Develop and evaluate machine learning approaches using methods such as random forest, XGBoost ...

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ... Technical Requirements Statistics & Machine Learning Required * Strong foundation in statistical ...

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Showing results 1-20

Data Scientist Machine Learning information

See Oregon salary details

$39.6K

$129.8K

$207.8K

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

As of May 29, 2026, the average yearly pay for data scientist machine learning in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

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 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 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 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 Data Scientist Machine Learning jobs in Oregon? For Data Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Scientist Machine Learning jobs? Cities in Oregon with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning job openings in Oregon as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Full-time

Posted 13 days ago


Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientistย to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.ย 
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).
Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.