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Data Scientist Project Manager Jobs in Oregon (NOW HIRING)

Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions * Assist on research development projects and data ...

Data Scientist

OR · On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption ...

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to ... project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption ...

OR · On-site

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Work with Product Manager(s) to intake project/product requirements and translate these to ...

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 ...

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 ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand and engage with ... Provencommunication, presentation, and project management skills, with the ability to translate ...

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 ...

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Manage full life cycle of projects * Collaborate with Data Engineers to validate source data and ...

Data Scientist

$96K - $134K/yr

Work alongside senior data scientists and clinical mentors to translate broad clinical questions ... Write clean, well-documented code and maintain clear project documentation (in GitHub) to support ...

Data Scientist

OR · On-site +1

Data Scientist - Product Location : US Level : Senior Individual Contributor Team : Engineering ... Background in procurement, contract management, spend analytics, or financial operations domains

Collaborate with management and users to develop content and integrate program strategies with ... projects. * Write and edit technical documentation for digital products and designs, such as user ...

You'll lead high-impact projects with real business outcomes * Rapid Growth : We compress years of ... We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to ...

... project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption ... Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ...

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Data Scientist Project Manager information

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

Can a data scientist become a data scientist project manager?

A data scientist can become a data scientist project manager by developing leadership, communication, and project management skills, often through experience and certifications like PMP or Agile. Transitioning typically involves gaining experience in managing projects and teams while maintaining technical expertise in data analysis and modeling.

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

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.
What are popular job titles related to Data Scientist Project Manager jobs in Oregon? For Data Scientist Project Manager jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Scientist Project Manager jobs? Cities in Oregon with the most Data Scientist Project Manager job openings:
Infographic showing various Data Scientist Project Manager job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

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Re-posted 24 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.