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Data Science Engineer Jobs in Oregon (NOW HIRING)

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 ...

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 ...

Lead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring. Develop robust image-processing pipelines ...

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function ... Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Showing results 21-40

Data Science Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data science engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Oregon?

For Data Science Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Oregon look for?

The top searched job categories for Data Science Engineer jobs in Oregon are:

What cities in Oregon are hiring for Data Science Engineer jobs?

Cities in Oregon with the most Data Science Engineer job openings:

Infographic showing various Data Science Engineer job openings in Oregon as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago


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: $90,000 - $110,000 DOE

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. **