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Entry Level Data Science Jobs in Oregon (NOW HIRING)

Suvoda

Associate Project Manager

Portland, OR · On-site

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 ...

PacificSource

Facets/EDI Developer II

Springfield, OR · On-site

$87K/yr

Work within a team to design, develop, and maintain backend services that process complex data ... Conduct code reviews and assist entry level developers with technical design decisions and ...

PacificSource

Facets/EDI Developer II

Springfield, OR · On-site

$87K/yr

Work within a team to design, develop, and maintain backend services that process complex data ... Conduct code reviews and assist entry level developers with technical design decisions and ...

Actalent

Sales Development Representative

Beaverton, OR · On-site

$65K/yr

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

Actalent

Sales Development Representative

Beaverton, OR · On-site

$343K/yr

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

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How much do entry level data science jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level data science in Oregon is $20.14, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.60 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Entry Level Data Science jobs in Oregon? For Entry Level Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Oregon look for? The top searched job categories for Entry Level Data Science jobs in Oregon are:
What cities in Oregon are hiring for Entry Level Data Science jobs? Cities in Oregon with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Oregon as of May 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $41,900 per year, or $20.1 per hour.
Associate Project Manager

Associate Project Manager

Suvoda

Portland, OR • On-site

Full-time

Posted 20 days ago

Job description

We are seeking an entry-level, analytically-oriented Associate Project Manager to join our team! Our ideal candidate is someone who thrives in a fast-paced and dynamic environment, and takes initiative to seek out information, knowledge, and development, proactively. He or she is a resourceful problem solver who is savvy with technology and finds effective and efficient solutions to complex client problems. The Associate Project Manager is a true self-starter who deals well with uncertainty and ambiguity. Lastly, he or she is a proven team player who puts the success of the team first.
Responsibilities include (but are not limited to):
  • Work as part of a cross-functional project team responsible for the delivery of Interactive Response Technology (IRT) for randomization and drug supply management in clinical trials
  • Support the Services Delivery project team in:
    • Liaising with the client to discuss requirements, handle issues, provide status updates, and answer questions
    • Designing the IRT solution to meet the study requirements based on the clinical protocol, Suvoda proposal and discussions with the client
    • Accurately and completely documenting all requirements and participating in internal and external specification review meetings
    • Assisting with client review meetings of IRT specifications and supporting documents, making any required updates
    • Managing project schedules and scope, tracking all internal and client tasks required to meet project milestones
    • Managing the cross-functional project team's schedule and task assignments
    • Assisting with creating the UAT plan, developing test scripts, coordinating data setup, and providing client support for client UAT
    • Providing protocol-specific support to the client and support team after go-live
  • Ensure client satisfaction throughout the project build and maintenance phase, working with Suvoda management, the Suvoda product team, and business development as needed
  • Provide system training to end-users using in-person meetings, web meetings, and user manuals
  • Provide telephone and email support to system users globally
  • Travel to client sites to attend meetings and conduct user training sessions
  • Perform other related duties as required

Requirements:
  • Bachelor's degree (in life sciences or computer science preferred)
  • Interpersonal and communication skills
  • Time management and organizational skills
  • Analytical thinking ability
  • Creative problem-solving ability
  • Attention to detail

Special Note: Applicants must be currently authorized to work in the United States on a full-time basis.
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We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number - or request payment from you - during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert.
As set forth in Suvoda's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you are based in California, we encourage you to read this important information for California residents linked here.

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