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Chemical Engineering Data Science Jobs in Oregon

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 ...

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 ...

Bridge the gap between data science requirements and platform engineering implementation, representing the DS organization's needs directly to engineering leadership. Platform Leadership: Influence ...

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 ...

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

Showing results 41-60

Chemical Engineering Data Science information

See Oregon salary details

$25.4K

$99.5K

$195.5K

How much do chemical engineering data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for chemical engineering data science in Oregon is $99,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,870.00 and $138,639.00 per year, depending on experience, location, and employer.

What is a chemical engineering data science?

A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.

What does a chemical engineering data science do?

Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.

What are the key skills and qualifications needed to thrive in chemical engineering data science?

To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.

Can a chemical engineering data scientist become a data scientist?

A chemical engineering data scientist can become a data scientist by expanding their skills in programming, statistics, and machine learning, which are essential for general data science roles. Their domain expertise can be an advantage in industries like energy, pharmaceuticals, or manufacturing, but they may need additional training or certifications in data science tools such as Python, R, or SQL. Transitioning often involves gaining experience with broader data analysis techniques and project management skills common in data science positions.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Oregon?

The most popular types of Chemical Engineering Data Science jobs in Oregon are:

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

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

Infographic showing various Chemical Engineering Data Science job openings in Oregon as of August 2026, with employment types broken down into 77% Full Time, 10% Part Time, and 13% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution, with an average salary of $99,450 per year, or $47.8 per hour.

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

Posted 10 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. **