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Ai Data Science Jobs in Oregon (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

OR · On-site

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 ...

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 ...

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 ...

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.

OR · On-site

$372K - $600K/yr

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

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 26, 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 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 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.
Industry & Function AI Decision Science Manager

Industry & Function AI Decision Science Manager

Accenture

Beaverton, OR

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 487 rated business services


Job description

Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, AI and data with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Consulting, Strategy, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners, and communities. Visit us at accenture.com.

In Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our Decision Science practitioners use Industry & Functional domain expertise along with agentic AI knowledge to design, develop and reinvent processes with AI to drive efficiency and growth. You will be responsible for managing end-to-end data science projects, leveraging advanced analytics, machine learning, and AI technologies to create decision-making systems. This role requires a blend of technical expertise, strategic thinking, and leadership skills to deliver innovative solutions aligned with Accenture's commitment to driving 360° value for clients.

As an AI & Data Decision Science Manager, you will:

  • Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs
  • Manage teams both onshore and offshore across Data Science & Machine Learning
  • Understand and be able to bridge between business and technical domains (for both internal and external purpose)
  • Engage with business and analytics stakeholders to build and maintain relationships
  • Lead the sales process, originate, and lead sales solutioning for Data Science & Machine Learning related opportunities.
  • Customize Data Science / Machine Learning / Artificial Intelligence / Analytics models and solutions for specific business problems within an industry or function.
  • Collaborate across Accenture's network and partner with strategy, consulting, and tech teams in the sales and delivery processes.
  • Develop Data Science/Machine Learning / Artificial Intelligence talent within the organization.
  • Identify AI use cases in an industry and/or function by understanding an organization's goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap.
  • Advise organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value.

Ability to travel up to 80%; travel as needed based on client expectations.

Here's What You Need:

  • Bachelor's Degree, preferably in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.

Nice to Have:

  • 5+ years of experience building decision-based frameworks and models to drive insights.
  • 5+ years of high value consulting experience or equivalent internal consulting experience.
  • 5+ years of experience leading workstreams and meeting deadlines.
  • 5+ years of large-scale delivery experience with minimal help.
  • Proven track record of delivering successful AI or data science projects and teams.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong analytical and problem-solving skills.
  • Experience with AI Native and cloud platforms (e.g., Open AI, Anthropic, AWS, Azure, Google Cloud).
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Knowledge of agent-based modeling, reinforcement learning, and autonomous systems is highly desirable.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Experience in sales and business development.
  • Strong program management and communication skills, both verbal and written.
  • Driven and entrepreneurial: ability to originate and shape new deals, lead in client conversations, and go to market activities.
  • Fluent in English (both spoken and written).
  • Excellent leadership and people skills: proven ability to build effective teams and foster a collaborative and inclusive environment and proven ability to build strong client relationships.
  • You have experience bringing innovative ideas to projects.
  • Master's degree in Data Science, Computer Science, Statistics, or a related field.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 06/16/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the?Accenture Equal Opportunity Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document-4/Accenture-Equal-Opportunity-Statement.pdf#zoom=50)

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.


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