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Data Science Project Manager Jobs in Oregon (NOW HIRING)

OR · On-site

... managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data science project plans for clients and internal ...

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

OR · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Serve as a technical consultant on complex, high-impact projects * Please note this is an ... Ability to give effective training and presentations to management and other groups. * Ability to ...

OR · On-site

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... You are expected to also be hands on, not just a manger, and be directly responsible for some ...

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate ...

Experience managing multiple projects simultaneously against varying priorities within the team ... Execution of data science POCs into scalable and deployable solutions * Working knowledge of GAJT ...

$110K - $190K/yr

Bachelor's degree in computer science, Information Technology, Data Science, Project Management, or a related field. * 10 Plus years of experience in managing large, complex government contracts that ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... trial management. You'll work in a highly regulated healthcare data environment, ensuring ... Support projects to build algorithms that intelligently match patients to (or rank patients for ...

... science proficiency. How will you contribute? * Collect, analyze, and interpret small/large ... Work with Product Manager(s) to intake project/product requirements and translate these to ...

... management. * Lead cross-functional technical initiatives and influence strategic AI roadmaps ... Experience leading cross-functional technical projects and driving business impact through data ...

New

Data Scientist

OR · On-site +1

... project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption ... Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ...

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Data Science Project Manager information

See Oregon salary details

$17

$60

$84

How much do data science project manager jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data science project manager in Oregon is $60.80, according to ZipRecruiter salary data. Most workers in this role earn between $52.60 and $71.15 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Oregon? For Data Science Project Manager jobs in Oregon, the most frequently searched job titles are:
Infographic showing various Data Science Project Manager job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,469 per year, or $60.8 per hour.

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Re-posted 22 days ago


Job description

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team:

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients' work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:

Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren't afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  

What You'll Do:

  • Execute on the design, implementation, and delivery of analytics products and services
  • Build predictive models, tools, and data visualizations
  • Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
  • Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
  • Assist on research development projects and data science project plans for clients and internal initiatives
  • Strive to support team excellence by documenting processes and evangelizing new approaches
  • Work as part of a team to deliver accurate products on short deadlines

Who You Are:

  • You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so. 
  • You have experience that developed a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn't know they had - you're comfortable thinking from a number of different perspectives
  • You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button. 

What We Are Seeking:

  • 2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
  • Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
  • A strong understanding of a statistical programming language such as R or Python
  • Expertise building predictive models using regression and machine learning techniques
  • Ability to manipulate data with SQL
  • Proven experience creating analytics output within a production-oriented team
  • Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
  • Knowledge of experimental design and causal inference
  • Experience creating and delivering informative and engaging data visualizations using industry leading tools

What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:

  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation
  • Paid sick, personal, and volunteer leave
  • 15 weeks paid parental leave
  • Professional development & learning stipend
  • Bring Your Own Device (BYOD) stipend
  • Employee Assistance Program (EAP)
  • Flexible working hours
  • Telecommuting options
  • Pre-tax transportation options 
  • And more! 

The salary for this position is $85,000 annually. 

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S. 

The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply.  BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.