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Ai Data Science Jobs in Oregon (NOW HIRING)

NewRocket

AI Data Intelligence Lead

OR · Remote

Data Science * Forward Deployed Engineers * ServiceNow platform teams to deliver production-ready AI data intelligence systems. Required Experience * 8+ years in data engineering, machine learning ...

Five9

OR

As an expert in the leading edge of AI and data science, you will direct the team on the ... methodologies, practices, algorithms, experiments and processes they perfo rm. * Hands On: You are ...

Varsity Tutors

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Science Tutor

OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Pacvue

OR

This role will build on the strong AI and Data Science foundation already in place (based primarily in the US & China), partnering closely with existing leaders and teams to sharpen strategy ...

CookUnity

OR · On-site

Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems * Translate complex ...

Liberty Information Technology Limited

Design, build, and evaluate generative AI solutions and agentic systems * Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility * Build evaluation ...

Cotiviti

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

Cotiviti

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

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

About this role At Waymark, our data science work is grounded in a specific and meaningful ... Build and validate ML and AI models on claims and EHR data for care delivery use cases including ...

New

Shift Technology

OR

This role leads the strategic expansion of our US Health AI roadmap. You will guide and scale a high-performing group of Data Scientists and Engineers focused on US Health, within our global 200 ...

Aptive

This is a hands-on senior data science position, ideal for someone who combines deep theoretical ... The ideal candidate can evaluate when statistical, AI, or machine learning approaches are ...

SOSi

Data Scientist

OR · On-site +1

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 ...

SOSi

Data Scientist

Myrtle Point, OR

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 ...

SOSi

Data Scientist

OR

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 ...

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Showing results 1-20

All JobsAi Data Science JobsAi Data Science Jobs in Oregon

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 Jul 30, 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 can I do with AI and data science?

AI Data Science professionals analyze large datasets, develop machine learning models, and create algorithms to solve complex problems across various industries. They use tools like Python, R, and SQL, and often work in environments that require strong analytical and programming skills. This role supports data-driven decision-making and innovation in fields such as healthcare, finance, and technology.

Can AI do data science jobs?

AI can assist with many data science tasks such as data analysis, modeling, and automation, but it does not fully replace the need for human data scientists. Data science roles typically require skills in programming, statistics, and domain knowledge, with AI tools serving as support rather than complete substitutes.

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 do AI data scientists do?

AI data scientists analyze large datasets to develop machine learning models and algorithms that enable artificial intelligence systems to perform tasks such as prediction, classification, and pattern recognition. They use programming languages like Python or R, and tools such as TensorFlow or PyTorch, to build, test, and optimize AI solutions, often working closely with data engineers and domain experts.

What are the key skills and qualifications needed to thrive as an AI Data Scientist, and why are they important?

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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and leadership responsibilities. Such roles may involve overseeing AI projects, developing innovative algorithms, and utilizing tools like Python, TensorFlow, or cloud platforms, with compensation reflecting the seniority and impact of the role.
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 job categories do people searching Ai Data Science jobs in Oregon look for? The top searched job categories for Ai Data Science jobs in Oregon are:
What cities in Oregon are hiring for Ai Data Science jobs? Cities in Oregon with the most Ai Data Science job openings:
Ai Data Science jobs near you
Infographic showing various Ai Data Science job openings in Oregon as of July 2026, with employment types broken down into 69% Full Time, 21% Part Time, 9% Contract, and 1% Nights. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

AI Data Intelligence Lead

NewRocket

OR • Remote

Other

Re-posted 24 days ago

Job description

All applicants must provide a LinkedIn profile with a clear picture of themselves.

AI Data Intelligence Lead

AI Foundry | NewRocket

Location: Remote (Occasional travel as needed)
Reports to: Global AI Center of Excellence Lead

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Role Overview

NewRocket is seeking an AI Data Intelligence Lead to design and build AI-powered capabilities that modernize enterprise data and transform it into AI-ready operational context.

This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI systems, intelligent automation, and enterprise AI platforms to operate on trusted, contextual, and continuously improving data.

As part of the AI Foundry within NewRocket's AI Center of Excellence, this role will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, enabling scalable AI deployments across enterprise environments including ServiceNow and other operational platforms.

Key Responsibilities

  • AI Data Intelligence
  • Design and implement AI-driven systems that improve enterprise data quality through:
  • AI-powered data enrichment and inference
  • Entity resolution and fuzzy matching
  • Automated classification and taxonomy generation
  • Anomaly detection and data quality monitoring
  • Achema mapping and data harmonization across datasets
  • AI Data Architecture
  • Design modern data platforms that support AI systems, including:
  • Semantic indexing and embeddings
  • Knowledge graphs and ontology frameworks
  • AI-ready data pipelines and enrichment layers
  • Real-time ingestion and contextualization of enterprise data
  • Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms.
  • AI Data Lineage & Observability
  • Establish enterprise capabilities for:
  • AI data lineage and traceability
  • Data provenance across AI pipelines
  • Observability of data quality and enrichment accuracy
  • Explainability and auditability for AI-driven systems
  • Product & Platform Development
  • Translate data intelligence concepts into scalable capabilities including:
  • Reusable data modernization frameworks
  • AI-powered data enrichment services
  • Internal accelerators and intellectual property
  • Client-ready data intelligence solutions
  • Cross-Team Collaboration

Work across:

  • AI / ML Engineering
  • Data Engineering
  • Data Science
  • Forward Deployed Engineers
  • ServiceNow platform teams to deliver production-ready AI data intelligence systems.

Required Experience

  • 8+ years in data engineering, machine learning, or AI-driven data platforms
  • Experience building AI-powered data pipelines or data intelligence systems
  • Strong background in:
  • enterprise data modeling and architecture
  • large-scale data processing
  • Machine learning applied to data systems
  • Experience with technologies such as:
  • Python
  • ML frameworks
  • vector databases
  • knowledge graphs
  • Modern data platforms (Databricks, Snowflake, etc.)
  • Preferred Experience
  • Experience applying LLMs or generative AI to enterprise data systems
  • Experience with semantic retrieval or RAG architecture
  • Familiarity with ServiceNow data models (CMDB, workflow data, knowledge systems)
  • Experience in integrating AI solutions with ServiceNow or other enterprise workflow platforms
  • Experience building data platforms or reusable AI accelerators

Why This Role Matters

Enterprise AI systems depend on trusted, contextual enterprise data. Without modern data intelligence capabilities, even the most advanced AI platforms fail to deliver reliable outcomes.

This role builds the AI Data Intelligence layer that enables enterprise AI systems, autonomous workflows, and agentic platforms to operate effectively.

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace.We value and celebrate diversity, believing that every employee matters and should be respected and heard.We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status.For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

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