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Remote Data Science 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 ...

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 ...

... data management. From product development to implementation, our unified Enterprise Imaging ... Provide telephone and remote access, consultation and technical expertise to Agfa customers, Field ...

... data management. From product development to implementation, our unified Enterprise Imaging ... Provide telephone and remote access, consultation and technical expertise to Agfa customers, Field ...

Senior Manager, Privacy (Legal)

OR · On-site +1

$160 - $180K/hr

... sciences or a similar industry focused on data privacy and security is required. * CIPP/US privacy certification is a plus. Travel and Location * Boston based preferred, open to remote employees

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ...

Senior Lead System Architect

OR · Remote

$132K - $176K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ...

Sr Software Engineer

OR · Remote

$84K - $112K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Location This role is designated as a fully remote position within the United States. The Main ...

Application Specialist, P&HS, North

OR · Remote

$133K - $150K/yr

This is a remote position to be located in Northern US. In this role, your responsibilities will ... Four year Bachelor's Degree in Chemical Engineering, Pulp & Paper Science, or other related field

Field Applications Engineer Leader

OR · Remote

$170K - $207K/yr

This position will be fully remote in the United States. What You'll Do: * Talent Development ... Utilize data-driven insights and analytics to monitor, measure, and report on applications ...

Application Specialist, P&HS, North

OR · On-site +1

$133K - $150K/yr

This is a remote position to be located in Northern US. In this role, your responsibilities will ... Four year Bachelor's Degree in Chemical Engineering, Pulp & Paper Science, or other related field

Field Applications Engineer Leader

OR · Remote

$170K - $207K/yr

This position will be fully remote in the United States. What You'll Do: * Talent Development ... Utilize data-driven insights and analytics to monitor, measure, and report on applications ...

This current career opportunity is a remote position located in our Wisconsin River District ... Bachelor's degree level and/or equivalent field experience in paper science, chemistry, biology ...

Showing results 21-40

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Remote, OR?

The most popular types of Data Science jobs in Remote, OR are:

What are popular job titles related to Remote Data Science jobs in Remote, OR?

For Remote Data Science jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Remote, OR look for?

The top searched job categories for Remote Data Science jobs in Remote, OR are:

What cities near Remote, OR are hiring for Remote Data Science jobs?

Cities near Remote, OR with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Lead IAM Engineer - Remote

OR • Remote

Data Analysis Inc.
Finance and Insurance • 51 - 200 employees

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 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.