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Decision Engineer Jobs in Minnesota (NOW HIRING)

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team capabilities in container materials and container process engineering. Collaboration, Influence ...

Drive use of analytical tools and data-driven decision making * Contribute to strengthening team capabilities in container materials and container process engineering. Collaboration, Influence ...

Mortenson is currently seeking an AI Engineer that will play a key role in developing, testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock new value ...

Join our team as a Principal Analytics Engineer! This is a fixed hybrid role on-site Tuesday ... This role is responsible for building the trusted data foundations that power business decision ...

Manufacturing Engineer

Saint Paul, MN · On-site

$73K - $95K/yr

Support reporting and data-driven decision-making initiatives * Collaborate cross-functionally to improve operational processes Required Qualifications: * 2-5 years of relevant engineering experience

Level 2 engineers are responsible for designing and executing high-impact projects, mentoring lower ... Act as a key resource for problem-solving and decision-making, working alongside managers and ...

Level 2 engineers are responsible for designing and executing high-impact projects, mentoring lower ... Act as a key resource for problem-solving and decision-making, working alongside managers and ...

Produce and present data for decision making. Qualifications: Education and Experience * Bachelor's degree in engineering or related discipline. * Minimum of 5 years' experience in a manufacturing ...

Showing results 21-40

Decision Engineer information

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Decision Engineer jobs in Minnesota look for? The top searched job categories for Decision Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Decision Engineer jobs? Cities in Minnesota with the most Decision Engineer job openings:

Equipment Engineer II

Seagate Technology

Bloomington, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Seagate Technology rating

8.9

Company rating: 8.9 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

10th of 156 rated electronics manufacturers


Job description

About our group:
Equipment Engineering is the backbone of Seagate's wafer manufacturing excellence. Our team ensures every piece of tooling operates at peak performance to fabricate the Magnetic Recording Heads that power Seagate's world-class HDDs.
We combine deep equipment engineering expertise with advanced factory control systems, sensors, and AI-driven technologies to monitor tool health in real time and enable proactive, automated decision-making.
Join Seagate's Wafer AI vision, where we are transforming traditional manufacturing into a smart factory. You'll work on high-impact initiatives with measurable ROI, collaborating with global experts across engineering, AI, and operations in a culture that values innovation, continuous learning, and teamwork.
About the role - you will:
  • As an Equipment Engineer, you will bridge traditional equipment engineering and modernize semiconductor manufacturing equipment while driving adoption of data-driven control strategies and AI-enabled solutions.
  • This role is ideal for someone who enjoys hands-on equipment work while also building next-generation automation, data systems, and smart factory capabilities.
  • Support development, deployment, and optimization of wafer processing equipment across areas such as Photolithography, Electromagnetic Plating, or Metrology
  • Support installation, modification, upgrade, and maintenance of manufacturing equipment to improve performance and reliability
  • Evaluate equipment health and drive actions to improve uptime, throughput, and process stability
  • Assist in developing and implement factory control strategies using automation, sensors, and AI-driven monitoring solutions
  • Deploy data collection systems and integrate tools using software (e.g., Python, SQL, AI frameworks) to enhance tool performance and decision-making
  • Build or support lightweight AI models and rule-based logic for anomaly detection, predictive maintenance, and automated interlocks
  • Partner with Equipment, Process, Yield, and Data Engineering teams to solve complex manufacturing issues and identify high-value improvement opportunities
  • Assist or support root cause investigations using engineering fundamentals, statistical analysis, and data insights
  • Maintain documentation on tool upgrades, safety issues, and technical notices from equipment suppliers
  • Provide technical support to technicians, operators, and engineering teams, and contribute to knowledge sharing across the organization

About you:
  • Strong problem-solving mindset with the ability to translate complex issues into practical solutions
  • Excellent communication skills and ability to influence cross-functional teams
  • Comfortable working in a fast-paced manufacturing environment, including occasional off-shift support as needed
  • Passion for improving manufacturing through automation, data, and intelligent systems
  • Collaborative mindset with a willingness to both teach and learn within the team

Your experience includes:
  • Experience in semiconductor or wafer manufacturing equipment
  • Experience and understanding of equipment systems in areas such as Photolithography, Plating, Metrology, or Inspection
  • Understanding of equipment performance, reliability, and maintenance practices
  • Experience with statistical analysis tools (e.g., JMP, Minitab, Six Sigma methodologies)
  • Proficiency in programming or scripting (e.g., Python, SQL, R, or similar)
  • Experience or exposure to implementing equipment control strategies or factory automation systems
  • Bachelor's degree in STEM related field (i.e. Electrical, Mechanical, Chemical, Computer Engineering, Materials, Physics, or Information Technology) and 2+ years of experience, Master's degree or PhD and 0+ years' experience or equivalent experience and education.

You might also have:
  • Experience integrating sensors, edge devices, or data acquisition systems into manufacturing equipment
  • Familiarity with AI/ML concepts applied to equipment monitoring or fault detection
  • Background in upgrading legacy tools with modern controls, sensors, or automation capabilities
  • Knowledge of SPC, DOE, DMAIC, or structured problem-solving methodologies

Location:
Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound.
The estimated base salary range for this position is $76,856.00 - $109,892.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.
Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, , eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.
Location: Normandale, United States
Travel: None
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere!
Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster
Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at accommodations@seagate.com.
All Seagate jobs will remain open for a minimum of seven days.
For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

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