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Information Science Jobs in Remote, OR (NOW HIRING)

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Master's degree or PhD in Computer Science, AI, Machine Learning, Statistics, or a related ... Compensation This information reflects the anticipated base salary range for this position based on ...

Senior Lead IT Engineer, Flexera One

OR · On-site +1

$132K - $176K/yr

Bachelor's or Master's degree in Information Technology, Computer Science, or a related field, or equivalent practical experience. * Minimum of 10+ years of professional software engineering ...

MLS/MLT - Full Time

Coos Bay, OR · On-site

$38.66 - $57.38/hr

Medical Laboratory Scientist Performs clinical laboratory testing aiding the physician in the ... INFORMATION Union Affiliation: UFCW The above statements are intended to describe the general ...

MLS/MLT - Full Time

Coos Bay, OR · On-site

$38.66 - $57.38/hr

Medical Laboratory Scientist Performs clinical laboratory testing aiding the physician in the ... INFORMATION Union Affiliation: UFCW The above statements are intended to describe the general ...

For more information : You'll manage strategic and material-science focused corporate accounts-Materials Science Imaging Solutions, material analysis, and microscopy equipment (digital and industrial ...

Description Bluespine is an innovative new startup in the health-IT domain. By employing cutting ... Support engineering and data science teams with audit and FWA concepts, data mapping, and defining ...

Showing results 21-40

Information Science information

See Remote, OR salary details

$5

$42

$64

How much do information science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for information science in Remote, OR is $42.66, according to ZipRecruiter salary data. Most workers in this role earn between $29.76 and $50.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an information scientist, and why are they important?

To thrive as an Information Scientist, you need a strong foundation in data management, information retrieval, and analytical research methods, typically supported by a degree in information science or a related field. Familiarity with database management systems, data analysis tools (such as SQL, Python, or R), and metadata standards is often required, along with certifications like Certified Information Professional (CIP) being advantageous. Excellent problem-solving, communication, and organizational skills help in interpreting data needs and delivering actionable insights. These competencies ensure accurate data handling, effective information dissemination, and informed decision-making in organizations.

What is the difference between Information Science vs Data Analyst?

AspectInformation ScienceData Analyst
Required CredentialsBachelor's or Master's in Information Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often includes certifications in data analysis tools
Work EnvironmentResearch labs, libraries, tech companies, academiaBusiness settings, finance, marketing, healthcare
Industry UsageInformation management, knowledge organization, information systemsData interpretation, reporting, data visualization

While both roles involve working with data and information, Information Science focuses on managing, organizing, and retrieving information systems, often in research or library contexts. Data Analysts primarily analyze data to generate insights for business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What jobs can I do with information science?

With a degree in information science, you can pursue roles such as data analyst, data scientist, information systems manager, database administrator, or user experience designer. These jobs often require skills in data management, programming, and understanding of information systems, and may involve working with tools like SQL, Python, or data visualization software.

What are some common challenges faced by information science professionals when working with large datasets, and how are these typically addressed?

Information Science professionals often encounter challenges such as data quality issues, integrating data from diverse sources, and ensuring data security when working with large datasets. Addressing these challenges typically involves using advanced data cleaning techniques, employing robust data integration tools, and collaborating closely with IT and security teams to implement strong data governance policies. Continuous learning about new data management technologies and best practices is also essential to stay effective in this dynamic field.

What are the qualifications to get an information science job?

The qualifications for a career in information science (IS) include a bachelor’s degree in information systems, although librarians typically need an advanced degree. Most employers looking for librarians prefer several years of industry experience. Many of them also require passage of the PRAXIS II Library Media Specialist test or certification. Excellent organizational and technical skills are essential for either career path, and you must stay current with the technology. Interpersonal skills are also helpful, whether for dealing with the general public or other non-IT staff and colleagues.

What is information science?

Information science is an interdisciplinary field that focuses on the collection, organization, storage, retrieval, and analysis of information. It combines aspects of computer science, library science, cognitive science, and social sciences to understand how people interact with information and technology. Information scientists often design systems and processes to manage data effectively, improve information accessibility, and support decision-making in various settings such as libraries, businesses, and research institutions.
What are popular job titles related to Information Science jobs in Remote, OR? For Information Science jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Information Science jobs in Remote, OR look for? The top searched job categories for Information Science jobs in Remote, OR are:
Infographic showing various Information Science job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $88,740 per year, or $42.7 per hour.

Senior Lead Applied AI Scientist

Lumen Technologies

OR • Remote

$176K - $220K/yr

Other

Medical, Life

This job post has expired 2 days ago. Applications are no longer accepted.


Lumen Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

8th of 97 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

Role Overview

Lumen is seeking highly technical, product-minded Senior Lead Applied AI Scientists to design, build, deploy, and continuously improve production-scale AI solutions. In this role, you will partner with business, product, engineering, and technology leaders to translate high-value opportunities into AI-powered solutions that deliver measurable business impact. 

You will combine deep expertise in AI and machine learning with strong software engineering, experimentation, and product delivery skills. The ideal candidate is a hands-on practitioner who can rapidly prototype, evaluate, and scale AI systems while helping stakeholders navigate technical and business tradeoffs. 

What You'll Do
  • Design, build, and optimize AI solutions from concept through production deployment. 
  • Partner with business and product teams to identify opportunities, define success metrics, and validate value through rapid experimentation. 
  • Develop advanced AI systems leveraging machine learning, generative AI, retrieval, predictive modeling, and agentic architectures. 
  • Define evaluation frameworks and continuously improve quality, reliability, safety, performance, and cost. 
  • Partner with Engineering to deliver scalable, production-ready solutions using MLOps and LLMOps best practices. 
  • Contribute reusable frameworks, evaluation assets, and technical standards that accelerate AI adoption across the enterprise. 
  • Provide technical leadership, mentorship, and guidance on complex AI initiatives.
Required Qualifications
  • 7+ years of experience in applied AI, machine learning, or data science, including production AI deployments. 
  • Proven track record of delivering AI solutions that drive measurable business outcomes. 
  • Deep expertise in machine learning, statistics, experimentation, predictive analytics, and modern AI techniques. 
  • Hands-on experience building LLM, RAG, agentic, and machine learning solutions. 
  • Strong experience with AI evaluation, model performance optimization, responsible AI, and production monitoring. 
  • Proficiency in Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, MLflow, or similar technologies. 
  • Experience with MLOps, LLMOps, cloud AI platforms, APIs, and software engineering best practices. 
  • Strong product mindset, problem-solving skills, and ability to communicate complex concepts with technical and business stakeholders. 

Preferred Qualifications

  • Master's degree or PhD in Computer Science, AI, Machine Learning, Statistics, or a related quantitative field. 
  • Experience operating enterprise-scale AI solutions in regulated or security-sensitive environments. 
  • Experience leading complex, cross-functional AI initiatives. 
  • Contributions to AI research, patents, publications, or open-source projects. 

Join Lumen's AI Office and help build the next generation of AI solutions that transform customer experiences, accelerate innovation, and create measurable business value.

Compensation

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges

$176,310 - $220,386 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY  
$185,124 - $231,406 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI  
$193,940 - $242,425 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA  

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's: 

  • Benefits 

  • Bonus Structure 

#LI-REMOTE

#LI-SB1

Requisition #: 342925

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


What Lumen Technologies employees say

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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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