1

Data Science Project Manager Jobs in Oregon (NOW HIRING)

$110K - $135K/yr

Overview As an AI Program/Project Manager , you will play a pivotal role in driving the development ... You will collaborate closely with cross-functional teams, including engineers, data scientists, and ...

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 ...

... 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 ...

Data Scientist

OR · On-site

... 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 ...

OR · On-site

$110K - $140K/yr

Job Summary AmeriLife's Enterprise Data & Analytics (EDA) team is seeking an experienced Data ... Bachelor's degree in Computer Science, Information Systems, Engineering,Business Management,or ...

$51.75 - $70/hr

... and project management within the Federal Government or Department of Defense environment ... Bachelor's degree in Data Analytics, Statistics, Computer Science, or a related field. * Proven ...

Guide technical, product, engineering, data science, and AI/ML teams. * Drive executive readouts and steering committee sessions. * Mentor project and program managers. * Influence prioritization and ...

OR · On-site

Team Building & Management * Build and lead a high-performing Clinical Data Science team (e.g., RWE epidemiologists, clinical data scientists, etc). * Set clear objectives, provide regular feedback ...

Data Scientist

OR · Remote

$130K - $150K/yr

... data science and analytics efforts across the organization. This role will work closely with ... Collaborate with product teams and customers to scope analytics projects and build prototypes.

Manage full life cycle of projects * Collaborate with Data Engineers to validate source data and ... Drive best practices in applying and deploying Data Science at scale YOU ARE * Aptitude to ...

The Technical Project Manager is responsible for ensuring the delivery of quality products and ... next generation data integration and analytics cloud platform that enables life sciences ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

next page

Showing results 1-20

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 Jul 13, 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 the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

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.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

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.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
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:
What job categories do people searching Data Science Project Manager jobs in Oregon look for? The top searched job categories for Data Science Project Manager jobs in Oregon are:
Artificial Intelligence AI Program/Project Manager

Artificial Intelligence AI Program/Project Manager

Cotiviti

$110K - $135K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

Overview

As an AI Program/Project Manager, you will play a pivotal role in driving the development and deployment of innovative AI/ML solutions. You will collaborate closely with cross-functional teams, including engineers, data scientists, and business stakeholders, to identify, prioritize, and deliver high-impact AI/ML products. You are data driven and influence our business strategy and technical priorities with that vision. This role will drive alignment between data engineering, AI, and business teams, ensuring successful execution of our data and gen AI initiatives.

Responsibilities
  • Collaborate with cross-functional teams to define the AI/ML solution vision, scope, dependencies and risks.
  • Partner with Engineering to develop and maintain the solution roadmap, prioritized backlog, and clear deliverables aligned with project objectives and key results.
  • Lead the delivery of high-quality AI/ML solutions, ensuring adherence to timelines, scope, and quality standards to deliver impactful solutions.
  • Own and prioritize the AI/ML solution roadmap to deliver high-value MVPs quickly.
  • Lead efforts to gather and communicate progress, metrics and key results to leadership, executive team, internal partners and other stakeholders via presentations and reporting.
  • Represent the program and team, effectively communicating with executives and stakeholders.
  • Collaborate with business stakeholders to deeply understand their needs and challenges, translating them into clear problem statements and objectives.
  • Work with R&D and Operations to identify business problems, evaluate the potential of AI/ML solutions, and assess associated risks and benefits.
  • Partner with Operations to ensure seamless deployment of models into production environments and provide ongoing support for model performance monitoring and optimization.
  • Work with other data science teams to share best practices, collaborate on projects, and support broader data science initiatives across the organization.
  • Drive data-driven decision-making, utilizing data analytics to optimize program performance and achieve strategic objectives.
  • Complete all responsibilities as outlined in the annual performance review and/or goal setting.
  • Complete all special projects and other duties as assigned. 
  • Must be able to perform duties with or without reasonable accommodation. 

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications
  • Bachelors or Master's degree in Engineering, Computer Science, or other technical related field.
  • 5+ years of technical product/program management experience with 4+ years delivering data product solutions within an AI/ML solutions portfolio preferably in a healthcare domain.
  • Data driven program manager with skills in product requirements that are concise, with clear, measurable success criteria.
  • Strong understanding of data engineering and AI/ML project lifecycles and data platform ecosystems (Databricks experience a plus).
  • Excellent communication skills, ability to make informed trade-offs, and a data-driven approach to planning and execution.
  • Experience in translating complex technical concepts into clear and understandable language for both technical and non-technical audiences.
  • Driven and energetic, with a strong foundation in data engineering and and product strategy.
  • Proven experience leading cross-functional teams and delivering results.
  • Collaborative and curious with a passion for driving value through AI/ML and data-driven solutions.
  • Results-oriented, measuring success by the value delivered, not the hours worked.
  • Proficiency in all required skills and competencies above.

Cognitive/Mental Requirements:

  • Foster a collaborative, learning-oriented culture that unites all facets of product development.
  • Effective communication and teamwork skills.
  • Proven ability to handle sensitive information with discretion and professionalism.
  • Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines.
  • Ability to work both independently and collaboratively, with a strong sense of urgency.

Working Conditions and Physical Requirements:

  • Flexibility to work effectively with diverse teams across different time zones and geographical locations.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access / connectivity and office setup and maintenance.

Base compensation ranges from $110,000 to $135,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. 

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 4/1/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 7/01/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

#LI-MD1

#LI-remote

#senior

Employment Type: OTHER

What Cotiviti employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom