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Remote Principal Data Scientist Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Nvidia

Principal Data Scientist - Cloud Gaming and AI

OR · On-site +1

Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU Compute services. Work with Leadership and Stakeholders to understand top level ...

New

YipitData

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

YipitData (Alternative)

Data Scientist, Corporate

OR · On-site +1

This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ... As Our Corporate Data Scientist, You Will: * Statistical Modeling & Distribution Optimization:

BetterHelp

Data Scientist

OR · On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

SOSi

Senior Data Scientist

OR · On-site +1

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Waymark

Senior/Principal Data Engineer

OR · On-site +1

$125K - $172K/yr

Our community-based care teams-powered by proprietary data science and ML technologies-support care ... This is a senior to principal-level individual contributor role who combines deep backend ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Honor

Staff Data Scientist

Portland, OR · Remote

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

phData

Principal Applied AI Solutions Architect

OR · On-site +1

You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Upstart

Principal Product Manager, Pricing Platform

OR · On-site +1

Experience working in machine learning, data science, or analytics-driven environments * Experience ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

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All JobsPrincipal Data Scientist JobsRemote Principal Data Scientist JobsRemote Principal Data Scientist Jobs in Oregon

Remote Principal Data Scientist information

What is a remote principal data scientist?

A Remote Principal Data Scientist is a senior-level data science professional who leads complex analytics projects and strategic data initiatives while working from a location outside the traditional office setting. They are responsible for designing advanced data models, mentoring junior data scientists, and collaborating with cross-functional teams to drive business decisions using data. This role typically involves setting data science standards, overseeing the development of predictive models, and ensuring the quality and impact of data-driven solutions. Remote Principal Data Scientists leverage communication technologies to coordinate with their teams and stakeholders across different locations.

What are the key skills and qualifications needed to thrive as a remote principal data scientist?

To thrive as a Remote Principal Data Scientist, you need advanced expertise in statistical analysis, machine learning, and programming (often with a PhD or master's in a quantitative field and substantial industry experience). Proficiency with tools like Python, R, SQL, cloud platforms (AWS, GCP, or Azure), and machine learning frameworks such as TensorFlow or PyTorch is critical, along with experience deploying models at scale. Exceptional communication, leadership, and problem-solving skills help you guide teams and translate complex data insights into actionable business strategies. These skills and qualities are essential to drive impactful, data-driven decisions and lead high-level projects effectively in a remote environment.

How do remote principal data scientists typically collaborate with cross-functional teams while working offsite?

Remote Principal Data Scientists frequently collaborate with product managers, engineers, and business stakeholders using virtual communication tools such as Slack, Zoom, and project management platforms. They often lead or participate in regular video meetings to discuss project goals, share data insights, and align on priorities. Establishing clear documentation, asynchronous updates, and strong communication habits are key to ensuring all team members remain informed and engaged. This collaborative approach helps maintain productivity and fosters innovation, even when team members are distributed across different locations.

What is the difference between Remote Principal Data Scientist vs Remote Data Scientist?

AspectRemote Principal Data ScientistRemote Data Scientist
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsBachelor's or Master's degree, some experience in data analysis
Work EnvironmentStrategic, leadership-focused, cross-functional teamsHands-on data analysis, model development, reporting
Employer & Industry UsageTech, finance, healthcare companies seeking senior expertiseStartups, tech firms, research institutions
Search & Comparison IntentUnderstanding senior vs. entry-level rolesEntry to mid-level data analysis roles

The Remote Principal Data Scientist typically holds a senior, strategic role with leadership responsibilities, requiring advanced credentials and extensive experience. In contrast, the Remote Data Scientist is more focused on hands-on analysis and model development, often suitable for those with less experience. Both roles are common in tech-driven industries but differ significantly in scope and seniority.

What are popular job titles related to Remote Principal Data Scientist jobs in Oregon?

For Remote Principal Data Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Principal Data Scientist jobs in Oregon look for?

The top searched job categories for Remote Principal Data Scientist jobs in Oregon are:

What cities in Oregon are hiring for Remote Principal Data Scientist jobs?

Cities in Oregon with the most Remote Principal Data Scientist job openings:

Remote Principal Data Scientist jobs near you
Infographic showing various Remote Principal Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 16 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