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Science Jobs in Coos Bay, OR (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

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 ...

SOSi

Data Scientist

OR · Remote

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 ...

SOSi

Data Scientist

Myrtle Point, OR

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 ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

SOSi

Senior Data Scientist

OR · Remote

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

EVERSANA

IT Staffing Sales Executive - Life Sciences

OR · On-site +1

... science, cloud, infrastructure, cybersecurity, and systems supporting clinical or R&D environments. * Ability to build rapport with both technical and non-technical stakeholders. * Excellent ...

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Master's degree or PhD in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field. * Experience operating enterprise-scale AI solutions in regulated or security-sensitive ...

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All JobsScience JobsScience Jobs in Coos Bay, OR

Science information

See Coos Bay, OR salary details

$23.2K

$45.8K

$74.7K

How much do science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for science in Coos Bay, OR is $45,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,400.00 and $49,200.00 per year, depending on experience, location, and employer.

What are science jobs?

Science jobs encompass a wide range of careers that involve researching, analyzing, and applying scientific principles to solve problems and advance knowledge. These roles can be found in various fields such as biology, chemistry, physics, environmental science, and more. Science professionals may work in laboratories, research institutions, academia, industry, or government agencies, often focusing on experimentation, data analysis, and innovation. Their work contributes to technological advancements, public health, environmental protection, and education.

What science careers are in demand?

As technology continues to advance, the demand for science professionals continues to increase. One of the science careers in highest demand is a research technician. A research technician’s duties are to set up, operate, and maintain lab equipment. Another in-demand job is that of a senior researcher. A senior researcher’s responsibilities are to work in a lab and conduct experiments. Other science jobs with significant demand include that of clinical project manager, chief scientific officer, and biotechnology specialist. Chemists, engineers, physicists, geologists, and technical writers are all science jobs currently in high demand.

What are the key skills and qualifications needed to thrive as a scientist, and why are they important?

To thrive as a Scientist, you need a strong background in scientific methodology, data analysis, and subject-specific knowledge, typically supported by at least a bachelor's or master's degree in a science field. Familiarity with laboratory equipment, statistical software, and data management systems is often required, along with relevant certifications depending on specialization. Critical thinking, problem-solving, and effective communication are essential soft skills for designing experiments and sharing findings. These skills ensure accurate research, meaningful discoveries, and clear dissemination of scientific knowledge.

What are some common challenges faced by professionals working in scientific research roles?

Professionals in scientific research often encounter challenges such as securing funding for projects, managing tight deadlines for experiments, and adapting to rapidly evolving technologies. Collaboration across multidisciplinary teams is frequent, requiring clear communication and strong project management skills. Additionally, interpreting complex data and publishing results in reputable journals can be demanding but are essential for career progression in the field.

What is the difference between Science vs Laboratory Technician?

AspectScienceLaboratory Technician
Required CredentialsBachelor's degree in science or related fieldAssociate's degree or certification in laboratory technology
Work EnvironmentResearch labs, universities, industry research centersClinical, industrial, or research laboratories
Employer & Industry UsageAcademic, research institutions, private companiesHospitals, diagnostic labs, manufacturing plants
Common Search & ComparisonFocuses on research, analysis, and scientific discoveryFocuses on conducting tests, preparing samples, and supporting research

Science professionals typically engage in research, experimentation, and analysis within labs or academic settings, often requiring advanced degrees. Laboratory Technicians support these efforts by performing tests, preparing samples, and maintaining lab equipment, usually with technical certifications. Both roles are essential in scientific and industrial environments, but their responsibilities and educational requirements differ significantly.

What are some careers in science?

Careers in science include roles such as research scientist, laboratory technician, environmental scientist, biologist, chemist, physicist, and data analyst. These positions often require strong analytical skills, knowledge of scientific methods, and proficiency with specialized tools or laboratory equipment.
More about Science jobs

What are the most commonly searched types of Science jobs in Coos Bay, OR?

The most popular types of Science jobs in Coos Bay, OR are:

What are popular job titles related to Science jobs in Coos Bay, OR?

For Science jobs in Coos Bay, OR, the most frequently searched job titles are:

What job categories do people searching Science jobs in Coos Bay, OR look for?

The top searched job categories for Science jobs in Coos Bay, OR are:

What cities near Coos Bay, OR are hiring for Science jobs?

Cities near Coos Bay, OR with the most Science job openings:

Science jobs near you
Infographic showing various Science job openings in Coos Bay, OR as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 20% Part Time, and 7% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $45,776 per year, or $22 per hour.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 6 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.

Apply