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Remote Data Scientist Jobs in Myrtle Point, OR (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 ...

SOSi

Data Scientist

OR · Remote

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

Senior Data Scientist

OR · Remote

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 ...

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 ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Under Armour

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 ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · Remote

$117K - $140K/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 ...

Atos

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 ...

Atos

Head of AI

OR · Remote

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 ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

Kynite

AWS Data Engineer Snowflake

OR · Remote

$117K - $140K/yr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc ... Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or ...

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or related technical ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Myrtle Point, OR

Remote Data Scientist information

See Myrtle Point, OR salary details

$35.2K

$115.1K

$184.3K

How much do remote data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote data scientist in Myrtle Point, OR is $115,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,500.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

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.

What does a remote data scientist do?

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.

What key skills and qualifications are 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.

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.

More about Remote Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Myrtle Point, OR?

The most popular types of Data Scientist jobs in Myrtle Point, OR are:

What are popular job titles related to Remote Data Scientist jobs in Myrtle Point, OR?

For Remote Data Scientist jobs in Myrtle Point, OR, the most frequently searched job titles are:

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Cities near Myrtle Point, OR with the most Remote Data Scientist job openings:

Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Myrtle Point, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $115,091 per year, or $55.3 per hour.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 8 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.

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