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Entry Level Data Scientist Jobs in Oregon (NOW HIRING)

We are seeking an entry-level, analytically-oriented Associate Project Manager to join our team ... Assisting with creating the UAT plan, developing test scripts, coordinating data setup, and ...

OR · On-site

$15 - $18.32/hr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Health Information Specialist

Portland, OR · On-site

$105K - $106K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Health Information Specialist I-6708

Portland, OR · On-site

$105K - $106K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Health Information Specialist I

Salem, OR · On-site

$15 - $18.32/hr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... sciences companies. From fulfilling a single patient's request for their medical records to ...

Showing results 41-60

Entry Level Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do entry level data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for entry level data scientist in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate your skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve your chances of landing the role.

Can a data scientist be entry-level?

Yes, entry-level data scientist positions are available for candidates with limited professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically focus on learning and developing skills through on-the-job training or internships.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

More about Entry Level Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Oregon? The most popular types of Data Scientist jobs in Oregon are:
What are popular job titles related to Entry Level Data Scientist jobs in Oregon? For Entry Level Data Scientist jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Oregon look for? The top searched job categories for Entry Level Data Scientist jobs in Oregon are:
What cities in Oregon are hiring for Entry Level Data Scientist jobs? Cities in Oregon with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Coordinator, Digital Advertising

Advance Local Media

Portland, OR

Full-time

Re-posted 9 days ago


Job description

Catalyst IQis adigital marketing and technology leader formed by uniting Advance Automotive's top brands-Adpearance, Fox Dealer, Search Optics, and ZeroSum. We empower automotive dealers and manufacturers to grow with precision and profitability through smarter, faster, and more comprehensive solutions. As a part of Advance Local and built on a foundation of over a decade of proprietary technology development, 23 billion data points, 22 OEM certifications, and a national sales force, Catalyst IQ combinescutting-edgeinnovation with humanexpertiseto deliver real-time insights and actionable intelligence that accelerate sales.

The next generation of business leaders won't just understand technology-they'll know how to use AI, data, and automation to solve real-world problems. At Catalyst IQ, we're looking for recent graduates who want to be on the front lines of that transformation.

Catalyst IQ is hiringaDigital Advertising Coordinator.

The Digital Advertising Coordinator (AI-Fluent) supports the development, execution, and optimization of digital advertising campaigns while leveraging AI tools and automation to improve efficiency, analysis, and performance.

This is an entry-level role designed for someone early in their career who is excited about digital marketing, technology, and problem-solving. We're looking for a curious, analytical, and adaptable individual who embraces AI as a tool for learning, productivity, and innovation. The ideal candidate is eager to develop expertise in digital advertising while finding creative ways to use AI to streamline work, uncover insights, and drive better results.

Success in this role comes from a willingness to learn, strong attention to detail, analytical thinking, and a passion for continuously improving how work gets done.

Responsibilities

  • Assist in the creation, management, and optimization of digital advertising campaigns across Google, Microsoft, Meta, and other advertising platforms.
  • Monitor campaign performance and support optimization efforts through data analysis and research.
  • Utilize AI tools to assist with reporting, research, content development, campaign management, and process improvement.
  • Identify opportunities to improve efficiency by leveraging AI and automation within daily workflows.
  • Analyze campaign and performance data to identify trends, opportunities, and actionable insights.
  • Support the development of reports, dashboards, and performance summaries for internal teams and clients.
  • Collaborate with team members to execute digital marketing strategies and client initiatives.
  • Contribute to the maintenance and improvement of internal tools, documentation, and operational processes.
  • Stay current on digital advertising trends, platform updates, and emerging AI technologies.
  • Demonstrate a proactive approach to learning new technologies, tools, and best practices.

Qualifications

Knowledge, Skills, Abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word.
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, Copilot, or similar platforms.
  • Interest in using AI to improve productivity, automate tasks, analyze information, and solve business problems.
  • Strong analytical and problem-solving skills.
  • Comfortable working with data, numbers, and performance metrics.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and commitment to accuracy.
  • Curiosity and a desire to continuously learn and improve.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Self-starter with a positive attitude and growth mindset.

Education and Experience

  • Bachelor's degree in Marketing, Advertising, Analytics, Economics, Mathematics, Computer Science, Business, Finance, or a related field required.
  • Internship, coursework, project work, or professional experience in digital marketing, advertising, analytics, AI, technology, or a related field preferred.
  • Familiarity with Google Ads, Microsoft Ads, Meta Ads, LinkedIn Ads, or similar advertising platforms is a plus.
  • Familiarity with GA4, reporting platforms, or data visualization tools is a plus.
  • Demonstrated use of AI tools for research, productivity, content creation, analysis, or process improvement is strongly preferred.

Travel:Infrequent (less than 5%)