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Data Science Manager Jobs in Oregon (NOW HIRING)

Data Scientist

OR ยท Remote

$130K - $150K/yr

... inventory management * Define and track KPIs to measure model performance and business impact ... Degree or equivalent years of experience in data science, statistics, computer science, or similar ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

OR ยท On-site

$480K - $750K/yr

The Title & Launch Management Data Science and Engineering team is at the forefront of driving operational and creative excellence in how we launch and promote content. We build highly automated ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

Working closely with product managers, engineering teams, and business stakeholders, this position ... Translate business and operational needs into scalable data science solutions and modeling ...

Drive best practices in applying and deploying Data Science at scale YOU ARE * Aptitude to synthesize and create a cohesive picture from a wide variety of information sources * Solid time-management ...

A0414 Life Sciences Annex Pay Grade:Academic Work Location: LSU Campus, Baton Rouge, Louisiana ... Candidates with a strong proficiency in computer programming and big data management are preferred.

OR ยท On-site

$128K - $166K/yr

Who You Are An experienced technical program manager with a track record of delivering complex, multi-stakeholder programs in data engineering, data science, or analytics-adjacent domains.

OR ยท On-site

$160K - $180K/yr

The Data Science team works with feature-rich, high-volume clinical datasets and collaborates cross ... Arine's medication management platform, with careful attention to bias, confounding, and ...

Data Scientist

OR ยท On-site +1

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or ... Background in procurement, contract management, spend analytics, or financial operations domains

A0414 Life Sciences Annex Pay Grade:Academic Work Location: LSU Campus, Baton Rouge, Louisiana ... Candidates with a strong proficiency in computer programming and big data management are preferred.

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Showing results 1-20

Data Science Manager information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do data science manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science manager in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Data Science Manager jobs in Oregon? For Data Science Manager jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Oregon look for? The top searched job categories for Data Science Manager jobs in Oregon are:
What cities in Oregon are hiring for Data Science Manager jobs? Cities in Oregon with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $102,710 per year, or $49.4 per hour.
Data Scientist

$130K - $150K/yr

Full-time

Retirement, PTO

Re-posted 17 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.ย  We empower our customers to deliver the right medicine to the right patient at the right time, every time.ย  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 Scientistย 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.ย 
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.ย 
  • 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.ย  We truly believe that where you work and what you do matters.ย  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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