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Senior Data Scientist Machine Learning Jobs in Oregon

SOSi

Senior Data Scientist

Myrtle Point, OR

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

SOSi

Senior Data Scientist

OR · On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

Instacart

Senior Data Scientist

OR · On-site +1

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels ... Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven ... In this position, you will drive the development of statistical models and machine learning ...

Smarsh

Lead Data Scientist

OR · On-site +1

The role will involve working with other Senior Data Scientists and mentoring Associate Data ... Development of machine learning models and other analytics following established workflows, while ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data ... and machine learning algorithms, and linear and non-linear optimization techniques. Hands-on ...

ICI Services

Senior Data Scientist must have knowledge of and access to program datasets and broader information systems and databases such as NSWC Corona Ship Maintenance Data Improvement Initiative (SMDII ...

Fuze Health

Applied Scientist - FuzeRx

OR · On-site +1

... Machine Learning Engineer, or Data Scientist, with a proven record of delivering ML/AI models to production. * Demonstrated experience applying machine learning and statistical modeling techniques to ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

Concora Credit Inc.

Data Scientist

Beaverton, OR · On-site

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

Waymark

Data/AI Scientist II

OR · On-site +1

$95K - $127K/yr

You will work closely with senior data scientists and engineers to learn how ideas move from ... Solid foundations in statistical and machine learning methods, including classical ML and an ...

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Senior Data Scientist Machine Learning information

See Oregon salary details

$100.2K

$136.6K

$160.6K

How much do senior data scientist machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for senior data scientist machine learning in Oregon is $136,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,192.00 and $151,107.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Oregon?

The most popular types of Data Scientist Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Senior Data Scientist Machine Learning jobs?

Cities in Oregon with the most Senior Data Scientist Machine Learning job openings:

Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist

SOSi

Myrtle Point, OR

Full-time

Re-posted 7 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 Senior 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 design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • 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
  • Active TS/SCI Clearance.
  • 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 demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:

  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

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.