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

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 ...

JIRA Engineer

OR · On-site +1

$49.50 - $64.75/hr

This is a REMOTE position. Duties and Responsibilities: * Assess the current Jira Data Center setup ... Bachelor's degree in information technology, Computer Science, Software Engineering or related ...

Be Seen First

PLM Configuration Specialist (Remote) About the Opportunity Our client is an established, global ... Post-secondary education in software engineering, computer science, or a related field, or ...

Research Fellow, Pharma Toxicology

OR · On-site +1

$150K - $200K/yr

Author, review, and approve technical documents and scientific reports as needed to support ... US - Remote All qualified applicants will receive consideration for employment without regard to ...

Solutions Engineer

Roseburg, OR · On-site +1

$100K - $118K/yr

SOLUTIONS ENGINEER REMOTE, must be an Oregon Resident EMPLOYMENT TYPE: Full-Time, Exempt About ... Reporting to the Data Solutions Manager, this role performs a full range of database analysis and ...

Solutions Engineer

Roseburg, OR · Remote

$100K - $118K/yr

SOLUTIONS ENGINEER REMOTE, must be an Oregon Resident EMPLOYMENT TYPE: Full-Time, Exempt About ... Reporting to the Data Solutions Manager, this role performs a full range of database analysis 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.
What are the most commonly searched types of Data Scientist jobs in Remote, OR? The most popular types of Data Scientist jobs in Remote, OR are:
What are popular job titles related to Remote Data Scientist jobs in Remote, OR? For Remote Data Scientist jobs in Remote, OR, the most frequently searched job titles are:
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What cities near Remote, OR are hiring for Remote Data Scientist jobs? Cities near Remote, OR with the most Remote Data Scientist job openings:
Lead IAM Engineer - Remote

Lead IAM Engineer - Remote

Data Analysis Inc.

OR • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Summary

The Lead Identity and Access Management Engineer is responsible for designing, implementing, and continuously improving enterprise IAM platforms while providing technical leadership across authentication, authorization, identity governance, and lifecycle management. This role serves as the IAM technical lead, defining and enforcing the operating model, including oversight of offshore administration processes to ensure secure, consistent, and auditable execution. The position owns identity security across both human and non-human identities, including workforce, service, application, and API identities. It also governs authentication mechanisms, token-based access, and service-to-service interactions across cloud and enterprise environments. Strong ownership of platforms such as PingID, Auth0, Duo, and Microsoft Entra ID is required, with a focus on modern authentication, MFA, SSO, and scalable identity governance. This includes governance of identity and access within AWS environments, including IAM roles, policies, and federated access. 


Duties & Responsibilities

  • Design, implement, and maintain IAM solutions across PingID, Auth0, Duo, Microsoft Entra ID, and AWS IAM environments.
  • Serve as the technical lead for IAM, defining architecture, standards, and the overall operating model.
  • Develop and enforce IAM processes and governance frameworks, including oversight of offshore operations, SLAs, and quality controls.
  • Own identity lifecycle management (joiner, mover, leaver), including automation of provisioning and deprovisioning.
  • Lead identity governance efforts, including access reviews, RBAC/ABAC models, and compliance with regulatory requirements.
  • Manage authentication and access controls, including SSO, MFA, conditional access, privileged access, and non-human identities (APIs, service accounts).
    • Design, implement, and govern AWS IAM including roles, policies, permission boundaries, and identity federation.
    • Manage AWS IAM roles for human and non-human identities, including service roles, cross-account access, and workload identities.
    • Implement and enforce least privilege access within AWS through policy design and role scoping.
    • Integrate AWS IAM with enterprise identity providers (Entra ID, Auth0) for federated access and SSO.
    • Govern access to AWS resources including management of access keys, role assumption, and temporary credentials.
    • Define and enforce controls for AWS service identities, including Lambda, EC2, and container-based workloads.
  • API / Token / Secrets
    • Align AWS IAM roles and temporary credential usage with token lifecycle and secrets management strategies.
  • Priviledged Access Management
    • The role includes ownership of cloud identity platforms, including AWS IAM, with responsibility for managing identities, roles, and access controls across multi-cloud environments.
  • Partner cross-functionally to integrate modern authentication protocols (SAML, OAuth, OIDC, SCIM), drive automation, support audits, and mentor IAM team members.


Qualifications & Requirements

Required Education, Experience, Certification/Licensure

  • Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, or related technical field, or equivalent practical experience.
  • 7+ years of experience in cybersecurity or IT, with at least 5 years focused on Identity and Access Management.
  • Demonstrated hands on experience with PingID, Auth0, Duo, and Microsoft Entra ID.
  • Proven experience designing and operating IAM programs, including governance, lifecycle management, and offshore operating models.
  • Experience managing both human and non-human identities including service accounts, API identities, and application identities.
  • Strong understanding of authentication and authorization protocols including SAML, OAuth 2.0, OIDC, LDAP, and Kerberos.
  • Experience implementing identity lifecycle automation and provisioning frameworks.
  • Experience with privileged access management concepts and technologies.
  • Experience supporting hybrid environments integrating on premises Active Directory with Entra ID.

Preferred Education, Experience, Certification/Licensure

  • Industry certifications such as CISSP, CISM, Microsoft Identity and Access Administrator, or relevant IAM certifications.
  • Experience with identity governance and administration platforms.
  • Experience in regulated environments aligned to SOX, HIPAA, PCI DSS, or NIST frameworks.
  • Experience with secrets management and vault technologies.
  • Experience with scripting or automation using PowerShell, Python, or similar tools.

KNOWLEDGE, SKILLS AND ABILITIES (KSAs)

  • Deep expertise in identity security, zero trust architecture, and access governance frameworks.
  • Strong understanding of AWS IAM concepts including roles, policies, trust relationships, and cross-account access.
  • Knowledge of cloud identity patterns including federated access and workload identity in AWS.
  • Strong knowledge of modern authentication and access controls, including MFA, passwordless, API security, and service-to-service authentication.
  • Ability to design scalable IAM architectures and operating models supporting both human and non-human identities across distributed environments.
  • Strong analytical, problem-solving, and process design skills, with the ability to translate complex requirements into standardized procedures and runbooks.
  • Effective communication, documentation, and stakeholder management skills, with the ability to drive accountability and consistency across teams.

Company Description

Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and information to omnichannel communication solutions. DAI provides leadership, oversight, and strategic direction and shapes the purpose, vision, and mission of these firms. Shared services include administration, finance, and human resources. DAI’s global team embraces an entrepreneurial focused environment fostering collaboration, teamwork, and creativity with a dynamic culture that emphasizes the value of its associates and their dedication to success. We strive to be leaders in our field, innovators with a history of being in the forefront of using technology to deliver our services.