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Data Scientist Project Manager Jobs in Portland, OR

Project Data Analytics: * Participate in the creation and continuous enhancement of reports and ... Familiarity with construction management software, such as Procore, is beneficial. Professional ...

New

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

... Management organization on the Strategy and Planning team ... This assignment will provide support for projects under the program by providing analytical ...

The Data Science & Analytics team builds technical solutions to manage the marketplace and optimize ... technical projects from inception to completion. Specifically, you will: * Design, develop, and ...

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 ...

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 ...

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 4

Tualatin, OR · On-site

$120 - $180/hr

The impact you'll make Lam Research is looking for a Performance Data Scientist in Lam's Global ... Ability to manage multiple projects simultaneously. * Experience with Quickbase and Power BI ...

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Data Scientist Project Manager information

See Portland, OR salary details

$48.8K

$175K

$258.2K

How much do data scientist project manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data scientist project manager in Portland, OR is $175,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,600.00 and $180,300.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

What are popular job titles related to Data Scientist Project Manager jobs in Portland, OR?

For Data Scientist Project Manager jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Portland, OR look for?

The top searched job categories for Data Scientist Project Manager jobs in Portland, OR are:

Infographic showing various Data Scientist Project Manager job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $175,003 per year, or $84.1 per hour.

Data Scientist 1

Portland, OR

Full-time

Medical, Retirement, PTO

Posted yesterday

New


Job description

Position Summary: Hoffman Construction is seeking a motivated and detail-oriented Data Scientist to join its Data team! In this entry-level role, the Data Scientist will work with large construction datasets, applying statistical and machine learning techniques to discover hidden trends and patterns. Using diverse structured and unstructured data, the Data Scientist will transform this data into meaningful actionable insights that drive business decisions, for both the corporation and Hoffman's project teams.  Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will also have excellent time management and communication skills, with acute attention to detail and the dedication needed to meet deadlines in a fast-paced environment. The Data Scientist will be expected to support Hoffman's project teams and relocation may be necessary. 

This is an in-person position.

Compensation Range: To be determined based on skill level and experience. 

Essential Responsibilities:

Data Science:

  • Collect, clean, and organize structured and unstructured data from various sources.

  • Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends.

  • Build and evaluate basic predictive models using machine learning algorithms.

  • Create visualizations and dashboards to communicate insights effectively.

  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

  • Document processes, methodologies, and findings for future reference.

  • Stay updated on emerging data science tools and techniques.

  • Participate in the creation of semantic models in MS Fabric and Power BI for use in AI efforts.

Project Data Analytics:

  • Participate in the creation and continuous enhancement of reports and dashboards, using Power BI, Excel, Smartsheet, and other data reporting tools. 

  • Aggregate and analyze data from diverse sources, ensuring comprehensive insights and synthesis by employing innovative data visualization techniques.

  • Detect inconsistencies and incorrect data, then locate and rectify issues.

  • Oversee the creation and delivery of weekly and monthly reports to internal and external stakeholders, including executives and client representatives. 

  • Serve as the subject matter expert on data, reporting, and analytics tools, keeping abreast of technological advancements and industry trends.

  • Educate and guide cross-functional teams on leveraging reporting tools effectively, aligning with project goals.

  • Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.

  • Apply automation to data collection and reporting processes to ensure accurate and timely data updates. 

Qualifications: 

Position Related Skills

  • Proficiency in Python or R; familiarity with SQL.

  • Practical experience creating end-to-end data science projects including EDA, feature engineering, model building and testing, and reporting results to a variety of audiences.

  • Experience with data analysis and visualization tools like Pandas, NumPy, Scikit Learn, Matplotlib, Seaborn, or similar.

  • Understanding of both supervised and unsupervised learning techniques.

  • Practical experience with machine learning tools and techniques.

  • Strong foundation in probability, hypothesis testing, and regression analysis.

  • Proficiency in using Jupyter Notebooks.

  • Ability to clean, preprocess, and manipulate large datasets.

  • Experience with data modeling techniques.

  • Experience using Power BI, Excel, Smartsheet, and other data analytic/reporting tools, with an aptitude for learning new tools.

  • Proficiency in DAX programming language.

  • Ability to communicate complex information to a range of data-literate audiences

  • Ability to solve problems independently and cooperatively with other team members.

  • Proficient technical writing experience in relevant areas, including queries, reports, and presentations.

  • Familiarity with Git, MS Fabric, and cloud platforms (AWS, Azure, or GCP) is a plus.

  • Previous experience in the construction industry is beneficial. 

  • Familiarity with construction management software, such as Procore, is beneficial.

Professional Experience and Education

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Science/Management, or a related field of study, or equivalent work experience required.

  • Five (5)+ years of professional data analysis and BI reporting experience, including statistical analysis preferred.

Competencies:

Action-oriented 

  • Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm 

    • Readily takes action on challenges

    • Identifies and seizes new opportunities 

    • Displays a can-do attitude in good and bad times 

    • Steps up to handle tough issues 

Manages ambiguity 

  • Operating effectively, even when things are not certain or the way forward is not clear 

    • Deals comfortably with the uncertainty of change 

    • Effectively handles risk 

    • Can decide and act without the total picture 

    • Is calm and productive, even when things are up in the air 

    • Deals constructively with problems that do not have a clear solution

Collaborates

  • Building partnerships and working collaboratively with others to meet shared objectives 

    • Works cooperatively with others across the organization to achieve shared objectives 

    • Represents own interests while being fair to others and their areas

    • Partners with others to get work done

Communicates effectively

  • Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences 

    • Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels 

    • Attentively listens to others 

    • Adjusts to fit the audience and the message 

    • Provides timely and helpful information to others across the organization 

    • Encourages the open expression of diverse ideas and opinions 

Manages complexity 

  • Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems 

    • Asks the right questions to accurately analyze situations 

    • Acquires data from multiple and diverse sources when solving problems 

    • Uncovers root causes to difficult problems

Physical and Mental Requirements:

  • Standing/Walking/Sitting: Workday is a combination of sitting/walking and standing.
  • Legs: Must be able to climb stairs - 5% of the day.
  • Hands/Arms: Constant use of hands/fingers for mouse/keyboard/computer use.
  • Vision: Visual acuity in near, mid, and far-range vision. Color vision, peripheral vision, depth perception, hand/eye coordination.
  • Hearing: Sufficient to hear conversational levels in person and over the telephone and radio; sufficient to hear alarms on equipment.
  • Speech: Sufficient to make oneself heard in person, speak in front of groups, and be understood over the telephone and radio. 
  • Lift/Carry: Up to 50lb computer/drawings- minimal.
  • Bending/Twisting: Minimal.
  • Kneeling/Crouching/Crawling: Minimal.
  • Constant mental alertness, accuracy, and attention to detail required.
  • Must be able to work independently, make decisions, and follow through on all assignments.
  • Must use creativity, independent judgment, and organizational and problem-solving skills to determine the best method to accomplish desired results.
  • Must be able to plan and organize work.
  • Must possess strong organizational and computer use skills and have an elevated level of competency to read/write/speak English, interpret construction related documentation and communicate with coworkers.
Build What Matters. Create What's Next.  

Hoffman Construction is a forward-thinking, self-performing builder specializing in technically complex, sustainable projects across advanced technology, mission critical, life sciences, healthcare, higher education, and commercial markets. Since 1922, we've grown from entrepreneurial roots into a multi-billion-dollar, employee-owned enterprise-now a dynamic family of companies with a national presence and a legacy of excellence.

At Hoffman Construction, your potential has room to grow. Whether you're on a jobsite or in a corporate office, you'll be empowered to take initiative, explore new paths, and shape the future of construction. We believe in building opportunity together-by unlocking talent, inspiring innovation, and driving forward the ideas that make a difference.

Join us and benefit from:

  • Competitive pay and advancement opportunities

  • Ongoing professional training and development

  • Comprehensive benefits-including free primary care for you and your family through our dedicated clinics, health insurance, paid time off, and a generous retirement plan.

  • A culture rooted in inclusion, collaboration, and respect.

We're hiring across all departments. Discover your future with us.

https://www.hoffmancorp.com/careers/


Application review will consider without limitation the following criteria: qualifications, education, and experience specific to the job description/duties as well as prior experience with Hoffman Construction. Applicants must be able to pass the Hoffman Drug and Alcohol test. 

Hoffman Construction is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable law. 

This job description is intended to outline the general nature and level of work being performed by employees. It is not designed to cover or contain a comprehensive list of responsibilities, duties, or skills required of the employee of this job. Furthermore, this description is subject to change at the discretion of the company, with or without notice. 

**Please note, we are not able to offer sponsorship for this position. **