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Statistical Engineering Jobs in Milwaukee, WI (NOW HIRING)

Reliability Engineer II

Brookfield, WI

$97K - $122K/yr

Bachelor of ScienceDegree in Engineering or educational equivalent field * 2-5 years of experience in related reliability and quality field and/or statistical engineering * Experience with or ...

Reliability Engineer II

Brookfield, WI · On-site

$97K - $122K/yr

Bachelor of Science Degree in Engineering or educational equivalent field * 2-5 years of experience in related reliability and quality field and/or statistical engineering * Experience with or ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Engineering Intern

Germantown, WI · On-site

$11.40 - $16.61/hr

Public Works Department - Engineering Opening Date: 02/03/2026 Summary of Job The Summer Intern ... Ability to interpret descriptive statistical reports. Reasoning Ability * Ability to exercise the ...

Summary of Job The Summer Intern applies civil engineering practices and principles in the design ... Ability to interpret descriptive statistical reports. Reasoning Ability Ability to exercise the ...

Manufacturing Engineering Manager

Racine, WI · On-site

$103K - $128K/yr

We are seeking a Manager, Manufacturing Engineering to lead our manufacturing engineering team at ... Six Sigma and statistical problem-solving tools * Manufacturing process development and ...

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Statistical Engineering information

See Milwaukee, WI salary details

$59.1K

$69.3K

$77.3K

How much do statistical engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for statistical engineering in Milwaukee, WI is $69,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $74,000.00 per year, depending on experience, location, and employer.

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.

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 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.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What are popular job titles related to Statistical Engineering jobs in Milwaukee, WI?

For Statistical Engineering jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Statistical Engineering jobs in Milwaukee, WI look for?

The top searched job categories for Statistical Engineering jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Statistical Engineering jobs?

Cities near Milwaukee, WI with the most Statistical Engineering job openings:

Infographic showing various Statistical Engineering job openings in Milwaukee, WI as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $69,318 per year, or $33.3 per hour.

Reliability Engineer II

Milwaukee Tool

Brookfield, WI

$97K - $122K/yr

Full-time

Re-posted 2 days ago


Job description

Job Description:

Come be DISRUPTIVE with us!

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in engineering capabilities; something unique within the industry, and we're pushing the limits.

Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.

As a Reliability Engineer II for Milwaukee Tool, you will be located at our Corporate & Global Design Headquarter in Brookfield, WI reporting to the Manager of Reliability / Quality Engineering. The Reliability Engineer I is a critical member of the New Product Development Team contributing entry level to intermediate engineering skills. Throughout a product's development cycle, this position requires strong cross-functional communication skills and analytical expertise to help launch new and exciting solutions that meet user needs. You will work in a fast-paced environment to innovate new products as a member of a cross-functional team.

Duties and Responsibilities

Product Development:

  • Lead teams for new product designs and engineering changes with respect to product reliability, user requirements and warranty information
  • Isolate and identify "critical to quality" (CtQ) user need requirements on mechanical and electrical design features; and all product component interactions
  • Track multiple projects simultaneously to ensure adherence to schedule and the Milwaukee Tool process.
  • Participate and collaborate on project teams involving Marketing and Engineering leading in all aspects of reliability and testing

Testing / Analysis:

  • Develop test plans and procedures based on new or established products, to ensure product meets customer requirements
  • Collaborate with test laboratories to implement test plans/procedures ensuring full test completion and best practices are utilized
  • Analyze, draw conclusions, report and present product information utilizing statistical techniques such as Weibull analysis, reliability distributions and matrices
  • Draw concise, logical, written conclusions from experiments based on data analysis
  • Ensure timely failure reporting root cause analysis and effective corrective/preventative actions (FRACA)

Job Requirements

  • Bachelor of ScienceDegree in Engineering or educational equivalent field
  • 2-5 years of experience in related reliability and quality field and/or statistical engineering
  • Experience with or knowledge of new product development processes emphasizing testing design, manufacturing audits, quality assurance, test engineering or reliability and warranty prediction capabilities
  • Experience including test development and specification creation, quality engineering fundamentals and proven experience leading a primary function within a project team
  • Relevant experience with Design of Experiments (Six Sigma, preferred), life data analysis, and other related statistical tools and software (i.e. Minitab, Reliasoft is a plus)
  • Written and verbal communication skills and creative problem-solving capabilities
  • Ability to travel 10% of the time is required (travel includes Domestic and International)
  • Preferred: ASQ Reliability Engineering Certification (ASQ-CRE) or the ability and desire to achieve certification
  • Preferred: Design for Six Sigma (DFSS) or Six Sigma experience, Python experience

Milwaukee Tool is an equal opportunity employer.