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Ai Data Science Jobs in Oregon (NOW HIRING)

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 ...

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate ...

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 ...

Job Summary We are seeking a Senior Data Scientist to support the Department of Veterans Affairs (VA) VHA AI Education Hub, a flagship initiative to advance artificial intelligence literacy and ...

$63.75 - $82/hr

Job Summary We are seeking an experienced AI/ML Architect to support the Department of Veterans ... Collaborate with data engineers, data scientists, software engineers, and product managers to ...

New

The ideal candidate is a technically rigorous AI/ML professional who thrives at the intersection of data science and strategic governance, bringing both hands-on modeling expertise and the ...

New

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

Group Product Manager, AI and Data

OR · Remote

$171K - $190K/yr

Bachelor's Degree in Computer Science, Engineering, Data Science, Statistics, Economics, or a related technical field, or equivalent practical experience leading data and AI-driven products. * 6-8 ...

This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to think in terms of technology systems, and some understanding of emerging areas of Responsible AI and AI ...

The Data Science group is made up of people from a diverse set of backgrounds and perspectives ... At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... The Opportunity As part of the People Tech & AI team you will lead the design, build, and operation ...

Data Scientist

OR · On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes * Strong statistical ...

Overview The Sr Staff AI Scientist - Generative AI will apply knowledge and experience to real ... Participate in other data science teams collaborating with your peers to support their projects.

... with modern AI techniques, including large language models (LLMs) and retrieval-augmented ... Translate business and operational needs into scalable data science solutions and modeling ...

... AI standards. * Client/prospect guidance in machine learning model and analytic fine-tuning ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

Showing results 21-40

Ai Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do ai data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai data science 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 the difference between Ai Data Science vs Data Analyst?

AspectAi Data ScienceData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fields; knowledge of AI, machine learning, programmingDegree in Statistics, Mathematics, or related fields; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, AI-focused firms, research labs; often involves programming and model developmentBusiness environments, consulting firms; focuses on data interpretation and reporting
Employer & Industry UsageUsed in AI development, predictive modeling, automation projectsUsed in business intelligence, reporting, and data-driven decision making

Ai Data Science and Data Analyst roles share overlapping skills like data handling and analysis, but Ai Data Science emphasizes AI and machine learning model development, while Data Analysts focus on interpreting data for business insights. Both roles are vital in data-driven industries but serve different functions within organizations.

What are the key skills and qualifications needed to thrive as an AI data scientist?

To thrive as an AI Data Scientist, you need strong skills in statistics, machine learning, programming (often Python or R), and a relevant degree in data science, computer science, or a related field. Familiarity with tools like TensorFlow, PyTorch, SQL, and cloud platforms, as well as certifications in data science or AI, are often expected. Critical thinking, curiosity, and effective communication are vital for interpreting complex data and collaborating with cross-functional teams. These skills and qualities enable the development of impactful AI solutions, accurate data-driven insights, and successful project delivery.

What is AI data science?

AI Data Science is a multidisciplinary field that combines artificial intelligence (AI), statistics, and computer science to extract meaningful insights from large and complex datasets. Professionals in this field use machine learning algorithms, data analysis techniques, and domain knowledge to solve real-world problems, build predictive models, and automate decision-making processes. AI Data Scientists often work with big data, develop and train AI models, and interpret results to help organizations make data-driven decisions.

How do AI data scientists typically collaborate with cross-functional teams during a project?

AI Data Scientists frequently work alongside software engineers, data engineers, product managers, and domain experts to develop and implement machine learning solutions. They are often responsible for translating business objectives into data-driven models, communicating technical findings in accessible terms, and iterating on models based on feedback from stakeholders. This collaborative environment requires strong communication skills and flexibility, as project requirements and data sources may evolve throughout the development cycle.
What are popular job titles related to Ai Data Science jobs in Oregon? For Ai Data Science jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Ai Data Science jobs? Cities in Oregon with the most Ai Data Science job openings:
Infographic showing various Ai Data Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted 19 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 Scientist 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. 
  • 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.