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Remote Data Scientist Jobs in Remote, OR (NOW HIRING)

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 ...

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 ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

We are seeking a Senior Data Scientist who is excited by the opportunity to turn information into ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise-wide data strategy. * Monitor changes in the ...

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Chemistry Expert (PhD)

OR · Remote

$80 - $90/hr

Remote We are engaging Chemistry Experts (PhD) to contribute their advanced subject-matter ... Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy ...

New

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Chemistry Expert (PhD)

OR · Remote

$80 - $90/hr

Remote We are engaging Chemistry Experts (PhD) to contribute their advanced subject-matter ... Review and evaluate chemistry data, questions, and solutions to guarantee scientific accuracy ...

New

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Qualifications Bachelor's degree in Computer Science, Computer Engineering, Information Systems or ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

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Economics Expert (PhD)

OR · Remote

$80 - $90/hr

Remote We are engaging Economics Experts (PhD) to contribute advanced subject-matter expertise to a ... Review and validate economics data, queries, and proposed solutions to ensure accuracy ...

New

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Economics Expert (PhD)

OR · Remote

$80 - $90/hr

Remote We are engaging Economics Experts (PhD) to contribute advanced subject-matter expertise to a ... Review and validate economics data, queries, and proposed solutions to ensure accuracy ...

New

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

Head of AI

OR · On-site +1

This executive role owns practice P&L, builds scalable offerings (GenAI, ML, data science, AI ... Geography: United States and Canada (remote/hybrid depending on location) * Travel: Up to 25-40 ...

... data management. From product development to implementation, our unified Enterprise Imaging ... Remote: Canada / US What You'll Do: * Provide telephone and remote access, consultation and ...

... data management. From product development to implementation, our unified Enterprise Imaging ... Remote: Canada / US What You'll Do: * Provide telephone and remote access, consultation and ...

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Remote Data Scientist information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do remote data scientist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote data scientist in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

Can a data scientist work remotely?

Yes, many data scientists work remotely, especially as the role often involves analyzing data, programming, and using tools like Python, R, and cloud platforms that can be accessed from anywhere. Remote work options depend on the employer's policies and the specific job requirements, but it is increasingly common in the data science field.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

How can I make 2000 a week working from home?

A remote data scientist can earn $2,000 or more per week by working on high-demand projects, consulting, or freelance assignments that pay premium rates. Building a strong portfolio, developing skills in machine learning and data analysis tools, and establishing a reliable client base are essential for achieving this income level remotely.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

How can I make $100,000 a year working from home?

A remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R, along with relevant certifications. Building a strong portfolio, gaining experience, and working for companies that offer remote roles with competitive salaries are key strategies to reach this income level.
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Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 7 hours 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.