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Statistical Engineering Jobs in Milford, CT (NOW HIRING)

Senior Engineer, Manufacturing Engineering

Danbury, CT · On-site

$91K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in mechanical engineering, or similar technical degree * 5-7 years of experience ... Ability to use Statistical Process Control, DOE, and Lean/Six sigma concepts in conjunction with ...

Manufacturing Quality Engineer

Middlefield, CT · On-site

$72K - $93K/yr

  • Retirement

  • PTO

Are you ready to collaborate with leading experts in optical engineering and contribute to the next ... Use statistical analysis, process capability studies, trend analysis, and other data-driven tools ...

Manufacturing Quality Engineer

Middlefield, CT · On-site

$72K - $93K/yr

  • Retirement

  • PTO

Are you ready to collaborate with leading experts in optical engineering and contribute to the next ... Use statistical analysis, process capability studies, trend analysis, and other data-driven tools ...

Quality Engineer III

North Haven, CT

$71K - $92K/yr

Performs Quality Engineering functions in support of projects associated to product development ... Statistical Quality control/statistical process control, design of experiments, failure mode and ...

Deep knowledge of FE Civil examination content covering mathematics, probability and statistics, statics, dynamics, mechanics of materials, fluid mechanics, hydraulics, geotechnical engineering ...

Showing results 21-40

Statistical Engineering information

See Milford, CT salary details

$62.5K

$73.3K

$81.8K

How much do statistical engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical engineering in Milford, CT is $73,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $78,200.00 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.

Part-Time Faculty: Industrial Engineering and General Engineering - Spring 2026

Quinnipiac University

Hamden, CT • On-site

$69K - $94K/yr

Part-time

Re-posted 26 days ago


Job description

Part-Time Faculty: Industrial Engineering and General Engineering - Spring 2026
Job Number: 496806
Type: Part-time
Campus: Mount Carmel - Hamden, CT
Categories: Faculty
Overview:
The School of Computing and Engineering at Quinnipiac University seeks highly qualified applicants who are committed to excellence in teaching for part-time faculty openings in Industrial Engineering for the Spring 2026 semester and beyond. The school is experiencing steady enrollment growth, and both needs candidates immediately and desires to develop and maintain a pool of candidates should additional part-time openings arise.
About the School/Program:The School of Computing and Engineering became the ninth school at Quinnipiac University on July 1, 2016 (then the School of Engineering). The school offers degrees in civil, industrial, mechanical and software engineering, and computer science. Housed in the newly renovated Communications, Computing and Engineering building, the school features newly constructed and outfitted laboratories, and classrooms. Dedicated to providing a first-rate engineering learning experience for our students, the school focuses on high-quality instruction, and offers hands-on training, applied learning opportunities and meaningful student-faculty relationships.
About Quinnipiac:
Quinnipiac University is a private, coeducational institution located 90 minutes north of New York City and two hours from Boston. The university currently has an enrollment of 9,700 students in more than 100-degree programs through its Schools of Business, Communications, Computing & Engineering, Education, Health Sciences, Law, Medicine, Nursing and the College of Arts & Sciences. Our 20 Division I teams have achieved remarkable success, boasting national and conference titles - including a 2023 NCAA national championship win in men's ice hockey, a trip to the Sweet 16 for our women's basketball team and NCAA Tournament appearances by many of our programs. The Quinnipiac University Poll is nationally recognized as a leader in public opinion research, and the university is consistently recognized by U.S. News & World Report and Princeton Review. The Wall Street Journal ranked Quinnipiac #51 among the best colleges in the nation, and second in Connecticut, for our exceptional graduation rate, salary impact, learning facilities, career preparation and learning opportunities.
The university is in the midst of program expansion and renewal for both traditional and adult learners, the development of innovative strategic partnerships, and recently opened South Quad with three state-of-the-art buildings.
As Quinnipiac grows, the university remains guided by the core values that define our community and shapes the experience of every student and employee.
  • We are fiercely committed to ensuring every Bobcat thrives. We are a lifelong partner for every learner.
  • We passionately care about our community. Everyone should feel welcome and valued.
  • We boldly shape our university's future. We will forge a path of impact together.

These values are the foundation of who we are and reflect the Quinnipiac spirit found across our campuses. For more information, please visit qu.edu. Connect with Quinnipiac on Facebook, Instagram, YouTube, TikTok and X.
Responsibilities:
The Spring 2026 semester openings are in day and early evening on-ground sections (some flexibility regarding offering time is possible) for the following courses:
  • ENR 210 - Engineering Economics and Project Management - This course focuses on the introduction to the concepts of economics/finance/costing and explains how these affect the functioning of engineering projects and contribute to decision making in engineering operations. A portion of the course covers the concepts of project management, team building and leading teams that are used throughout the program and in professional practice.
  • IER 250 - Data Analytics - This course presents basic techniques of decision-making concentrating on both theoretical and modeling aspects. This course integrates the art and science of decision making for single and multiple objective environments to support the decision-making phase of the Systems Decision Process (SDP). The focus of the course is modeling problem structure, uncertainty, risk and preference in the context of decision making.

Additional openings for the Fall 2026 semester and beyond include multiple topics in Industrial Engineering including Human Factors/Ergonomics, Statistical Quality Control, and others.
Additional course and curriculum information may be found at:
https://catalog.qu.edu/engineering/engineering/
Education Requirements:
  • A minimum of a Master's degree in Engineering or a related field is preferred, although consideration will be given to excellent candidates who possess practical experience or professional licensure.

Qualifications:
  • Teaching experience at the university level is preferred.
  • Proven ability to collaborate effectively with individuals from varied backgrounds.

Special Instructions to Applicants:
Quinnipiac University is considering only those applicants who have valid authorization to work in the United States. Quinnipiac University does not sponsor employment based visas for this position.
TO APPLY:
Applications must be submitted electronically and include a cover letter indicating your interest and qualification for the position along with your teaching availability in terms of days of the week and times for the semester, curriculum vitae or resume and the names and contact information for three references on the application form. Reference letters will only be required at the interview stage.
Consideration of candidates will begin immediately and may continue as long as teaching sections remain open.
Quinnipiac University is an equal opportunity employer and encourages applications from individuals of all backgrounds and experiences. We are committed to fostering an inclusive and respectful community.
Advertised: October 23, 2025 Eastern Daylight Time
Applications close:
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