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Remote Inventory Control Jobs in Oregon (NOW HIRING)

Data Scientist II

OR · Remote

$130K - $150K/yr

... inventory management * Define and track KPIs to measure model performance and business impact ... Strong knowledge of Git workflows and version control best practices * Understanding of SQL * Prior ...

Quality Assurance Specialist, Sr

Newberg, OR · Remote

$86K - $119K/yr

... control best practices preferred. * Minimum 50% campus based. Fully remote is not an option due to ... It is not to be construed as a comprehensive inventory of all duties, responsibilities and ...

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Showing results 1-20

Remote Inventory Control information

See Oregon salary details

$31.7K

$61.2K

$104.7K

How much do remote inventory control jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote inventory control in Oregon is $61,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $70,300.00 per year, depending on experience, location, and employer.

What is a Remote Inventory Control job?

A Remote Inventory Control job involves managing and tracking a company's inventory from a remote location, often using specialized software. Professionals in this role ensure that stock levels are accurate, monitor shipments, and coordinate with warehouses or vendors to maintain proper inventory records. They may also analyze inventory trends, generate reports, and help optimize inventory processes to minimize costs and maximize efficiency. Communication and organizational skills, as well as proficiency with inventory management systems, are important for success in this job.

What is the difference between Remote Inventory Control vs Remote Warehouse Associate?

AspectRemote Inventory ControlRemote Warehouse Associate
CredentialsInventory management certifications, ERP system knowledgeLogistics, warehouse safety certifications
Work EnvironmentOffice or home-based, software-focusedRemote but often includes physical warehouse tasks (if applicable)
Industry UsageRetail, manufacturing, supply chainLogistics, distribution centers
Search & Comparison IntentManaging inventory remotely, software skillsWarehouse operations, physical inventory tasks

Remote Inventory Control roles focus on managing inventory data, using software tools, and coordinating stock levels remotely. In contrast, Remote Warehouse Associate positions typically involve supporting warehouse operations, often requiring physical tasks or on-site presence, though some aspects can be remote. Both roles are vital in supply chain management but differ in responsibilities and work environment.

What are the key skills and qualifications needed to thrive as a Remote Inventory Control Specialist, and why are they important?

To thrive as a Remote Inventory Control Specialist, you need strong analytical skills, attention to detail, and experience in inventory management, often supported by a relevant degree or certification. Familiarity with inventory management software (such as SAP, NetSuite, or Oracle) and proficiency in Excel are typically required. Excellent organizational skills, problem-solving abilities, and effective communication are vital soft skills for this role. These competencies ensure accurate inventory tracking, minimize errors, and facilitate seamless operations across distributed teams.

What are some common challenges faced in a remote inventory control role, and how can they be addressed?

A common challenge in remote inventory control is maintaining real-time accuracy and visibility into stock levels without being physically present at the warehouse. This can be addressed by leveraging inventory management software that supports real-time data entry and regular communication with on-site staff. Establishing clear protocols for reporting discrepancies and scheduling frequent virtual check-ins with the warehouse team also helps ensure issues are resolved promptly. Staying organized and proactive in monitoring inventory reports is key to overcoming these challenges.
What are the most commonly searched types of Inventory Control jobs in Oregon? The most popular types of Inventory Control jobs in Oregon are:
What are popular job titles related to Remote Inventory Control jobs in Oregon? For Remote Inventory Control jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Inventory Control jobs in Oregon look for? The top searched job categories for Remote Inventory Control jobs in Oregon are:
What cities in Oregon are hiring for Remote Inventory Control jobs? Cities in Oregon with the most Remote Inventory Control job openings:
Infographic showing various Remote Inventory Control job openings in Oregon as of June 2026, with employment types broken down into 35% Full Time, 44% Part Time, and 21% Contract. Highlights an 100% Remote job distribution, with an average salary of $61,212 per year, or $29.4 per hour.
Data Scientist II

$130K - $150K/yr

Full-time

Retirement, PTO

Posted 23 days ago


Job description

At Bluesight, our mission is to create groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers.  We empower our customers to deliver the right medicine to the right patient at the right time, every time.  We are a high growth healthcare information technology company with a start-up 'vibe' but over 3,000 customers using our proven solutions.


Bluesight is looking for a Data Scientist II to join our central data team and help us drive the success of data science and analytics efforts across the organization. This role will work closely with external and internal stakeholders to deliver value through all stages of the RnD life cycle: identifying opportunities, building core infrastructure, running predictive models, analyzing impact, and highlighting improvement areas. This person will partner with cross-functional peers to strengthen Bluesight's data culture and help us innovate within our suite of Medication Intelligence products. 
Representative Duties
  • Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management
  • Define and track KPIs to measure model performance and business impact
  • Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses.
  • Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings.
  • Inform product roadmaps, evaluate technical feasibility, and assess project risks. 
  • Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements
  • Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions.
Required Qualifications:
  • Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field
  • Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI)
  • A willingness to leverage genAI tools to assist with rapid experimentation
  • Understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context
  • Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild
  • Strong knowledge of Git workflows and version control best practices
  • Understanding of SQL
  • Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences
  • Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders
Preferred Qualifications:
  • Master's degree or PhD in math and/or statistics centric field of study
  • Experience on a data team of a similar size (<5)
  • Experience working with protected healthcare data (e.g. ADM, EHR) and pharmaceutical supply chain logistics (e.g. invoicing, cost optimization)
  • Experience with infrastructure as code using Terraform to manage cloud resources
  • Experience with MLOps including deployment using MLFlow and containerization with Docker, CI/CD Pipelines, and monitoring
$130,000 - $150,000 a year
The standard base pay range for this role is $130,000 - $150,000 when annualized. In addition to a competitive base salary this position is also eligible for an amazing benefits package. Actual amounts and salary will vary depending on position offered, experience, performance, and location.
This position is a remote position and open to applicants in the continental United States.

Why Bluesight?
Bluesight's culture is built on innovation and teamwork. There's room to grow and opportunities to take initiative. You will partner with sharp, motivated teammates looking to disrupt a massive industry-and have fun doing it.  We truly believe that where you work and what you do matters.  Join us as we revolutionize the hospital pharmacy landscape!
-Competitive salary
-Time off when you need it - unlimited vacation days!
-Generous insurance coverage
-401k program with a company match
-Fun, collaborative culture!

EOE AA M/F/VET/Disability

All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, religion, color, national origin, sex, protected veteran status, disability, or any other basis protected by federal, state or local laws.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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