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Statistical Engineering Jobs in Minnesota (NOW HIRING)

Abbott

Manager Manufacturing Engineering

Saint Paul, MN · On-site

$111K - $138K/yr

Experience with statistical techniques (i.e. DOE, SPC) as well as Lean manufacturing techniques ... Engineering DIVISION: AVD Vascular LOCATION: United States > Minnesota > St. Paul : 1225 Old ...

Abbott

Manager Manufacturing Engineering

Saint Paul, MN · On-site

$111K - $138K/yr

Experience with statistical techniques (i.e. DOE, SPC) as well as Lean manufacturing techniques ... Engineering DIVISION: AVD Vascular LOCATION: United States > Minnesota > St. Paul : 1225 Old ...

Abbott

Manager Manufacturing Engineering

Saint Paul, MN

$111K - $138K/yr

Experience with statistical techniques (i.e. DOE, SPC) as well as Lean manufacturing techniques ... Engineering DIVISION: AVD Vascular LOCATION: United States > Minnesota > St. Paul : 1225 Old ...

Taylor

Industrial Engineer

North Mankato, MN

$75K - $85K/yr

... Improvement Engineering team in North Mankato, MN! This opportunity provides the challenge of ... Utilize statistical and quality tools as applicable such as: FMEA/PFMA, Gage R&R, Control Charts ...

Integer

Manager, Engineering

Brooklyn Park, MN

... Integer engineering tools & templates were available. (Examples include specifications ... and statistical methods for data driven analysis and decisions. * Using Black Belt experiences ...

Pwc

CTIO AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

Taylor Corporation

Industrial Engineer

North Mankato, MN · On-site

$75K - $85K/yr

... Improvement Engineering team in North Mankato, MN! This opportunity provides the challenge of ... Utilize statistical and quality tools as applicable such as: FMEA/PFMA, Gage R&R, Control Charts ...

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Minnesota

Statistical Engineering information

See Minnesota salary details

$60K

$70.4K

$78.6K

How much do statistical engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for statistical engineering in Minnesota is $70,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $75,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What are popular job titles related to Statistical Engineering jobs in Minnesota? For Statistical Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Minnesota look for? The top searched job categories for Statistical Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Statistical Engineering jobs? Cities in Minnesota with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Engineering Specialist III - D Shift

Engineering Specialist III - D Shift

Seagate Technology

Bloomington, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

About our group:
As a Wafer Process Engineering Technician, you play a critical role in supporting Seagate's thin-film head manufacturing. You will partner closely with process and sustaining engineers to control processes, evaluate tool performance, execute data-driven troubleshooting, and ensure the highest quality of recording head wafers. This position requires strong analytical skills, comfort working with data, and the ability to apply structured problem-solving in a fast-paced production environment.
This role supports a complex, high-reliability operating environment where sustained mental focus, continuous learning, and sound judgment are required throughout extended shifts.
About the role - you will:
1. Process Control, Optimization, and Qualification
  • Evaluate tool and wafer datasets using statistical reasoning (SPC charts, distributions, correlation patterns) to determine appropriate next steps.
  • Perform analytical review of qualification data using trend interpretation, slope/line-fit reasoning, and simple statistical testing to verify process stability before adjusting.
  • Apply calculations including ratios, offsets, tolerance windows, and proportional adjustments when determining parameter changes.
  • Navigate tool software interfaces to input, modify, and verify parameter changes in alignment with process control requirements.
  • Distinguish between normal process variation and true assignable causes using critical thinking and historical baseline comparison.

2. Data Analysis and Troubleshooting
  • Use structured problem-solving techniques (cause/effect reasoning, elimination testing, logic trees) when troubleshooting suspect processes.
  • Evaluate parameter impacts using quantitative reasoning, including linear relationships, proportional adjustments, and tolerance-based thresholds.
  • Use tool data logs, KPIV (Key Process Input Variable) datasets, and wafer parametric information to identify trends, isolate suspect parameters, and support evidence-based problem solving.
  • Combine tool logs, wafer data, and historical patterns to differentiate between equipment-driven and process-driven issues before escalating to engineering.
  • Synthesize findings into evidence-based recommendations for engineering, escalating only when analysis indicates non-routine deviation.
  • Participate in cross-functional teams focused on yield improvement, scrap reduction, and reaction plan effectiveness.

3. Materials Deviation Authorization (MDA)
  • Execute established engineering rules and procedures for non-conforming wafers.
  • Analyze rework and scrap data to determine root cause and corrective action.
  • Apply root-cause analysis grounded in data patterns (trends, distributions, frequency analysis).
  • Distinguish between process-induced, equipment-induced, and material-induced variation.
  • Follow established escalation guidelines and decision frameworks, including notifying Engineers when required.

4. Cycle Time Enhancement
  • Collaborate with production teams to analyze bottlenecks and recommend data-driven solutions.
  • Resolve factory floor engineering issues, escalating to engineering shift support when necessary.

5. Training and Documentation
  • Provide training for new technicians.
  • Continuously learn additional manufacturing areas as experience is gained.
  • Identify and suggest improvements to process engineering documentation used to control and qualify tools.
  • Translate analytical findings into clear documentation that supports engineering decisions and shift-to-shift knowledge transfer.

6. Engineering Support
  • Monitor special processes, make adjustments, and document results.
  • Support engineering staff with trials, experiments, and manual runs.
  • Function as the "eyes and ears" of the Sustaining organization and process engineering team.
  • Identify and escalate issues related to wafers, processes, systems, or documentation.

7. Health and Safety Compliance
  • Ensure compliance with all health and safety policies and procedures.

8. Additional Responsibilities
  • Apply a growing body of technical and operational knowledge to perform tasks accurately and safely.
  • Respond to previously unseen situations that require real-time analysis and judgment rather than reliance on fixed procedures.
  • Continuously update personal knowledge as tools, processes, and system behaviors evolve.
  • Recognize emerging issues early and take appropriate action through documentation, escalation, or collaboration.
  • Operate effectively under conditions of ambiguity while balancing precision and timely decision-making.

About you:
  • Proficient with computers and Microsoft Office.
  • Ability to apply quantitative reasoning and mathematical concepts to problem solving and data analysis.
  • Able to extract, filter, and interpret tool data logs and KPIV datasets using software tools such as Excel, JMP, or internal Seagate platforms.
  • Strong written and verbal communication skills to ensure effective documentation and handoffs.
  • Comfortable navigating digital documentation, Microsoft Teams, SharePoint libraries, and structured workflows in a fast-paced manufacturing environment.
  • Comfortable with basic statistical concepts, including data interpretation and variability.
  • Able to communicate effectively with individuals of varying experience levels.
  • Demonstrated ability to maintain focus, accuracy, and mental endurance during extended work periods.
  • Quick learner capable of acquiring new concepts through hands-on training and job shadowing.
  • Consistently adheres to established guidelines and escalation criteria, prioritizing product and process integrity.
  • Must be able to work a night shift schedule of 6:30 p.m. CST - 6:30 a.m. CST, Friday through Sunday and every other Thursday.

Your experience includes:
  • Typically requires a minimum of 2-4 years of related experience.
  • Experience in thin-film wafer manufacturing environments.
  • Understanding of wafer thin-film processing from an engineering or manufacturing support perspective.
  • Strong communication skills and ability to work effectively in a team.
  • Experience using tool log viewers, SPC platforms, or engineering dashboards to interpret KPIV trends.
  • Ability to perform data manipulation (sorting, filtering, charting) to support troubleshooting and cycle-time improvement.
  • Experience using data visualization or analysis tools such as Excel, JMP, Minitab, or equivalent.

You Might Also Have:
  • AA/AAS degree and/or comparable experience with wafer production equipment.
  • Capability to learn new data systems quickly and adapt to evolving digital workflows.
  • Familiarity with technical concepts and structured problem-solving in STEM environments.
  • Ability to perform first-level analytical investigations before escalation.
  • Ability to recognize when a process is statistically in control but not capable and communicate implications clearly.
  • Validates that tool adjustments are supported by data rather than anecdotal evidence.

The estimated base wage range for this position is $24.04 - $34.38/hr. The individual base wage 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, medical, dental, vision, and life insurance, short- and long-term disability, eligibility to participate in discretionary bonus program, 401(k), employee stock purchase plan, flexible and dependent care spending accounts, and health care spending accounts. Seagate also offers paid time off, including 12 holidays, 120 hours of vacation, 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 and tenure with the Company.
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.
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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