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Statistical Engineering Jobs in Milwaukee, WI (NOW HIRING)

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

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

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 ...

Prepare these reports utilizing a PC with word processing, database, spreadsheet and statistical/graphical software. * Instruct and assign work to Engineering Technicians. Job Requirements * Requires ...

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 ...

... Engineering Department in a production environment and have the opportunity to display critical ... Analyze and optimize PCBA production processes through statistical analysis, time studies, and ...

Reliability Engineer II

Brookfield, WI · On-site

$97K - $122K/yr

... engineering field with 2-5 years of experience in similar product development, reliability, test, or quality roles * Strong analytical problem-solving skills and sound statistical application in ...

Reliability Engineer II

Brookfield, WI · On-site

$97K - $122K/yr

... engineering field with 2-5 years of experience in similar product development, reliability, test, or quality roles * Strong analytical problem-solving skills and sound statistical application in ...

... Engineering Department in a production environment and have the opportunity to display critical ... Analyze and optimize PCBA production processes through statistical analysis, time studies, and ...

Quality Engineer

Oconomowoc, WI · On-site

$72K - $93K/yr

Ability to read and interpret engineering drawings and standards, including Geometric Dimensioning and Tolerancing (GD&T). * Practical experience with statistical analysis and statistical process ...

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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 11, 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 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 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:

Marketing Analytics Manager

Ra

Milwaukee, WI

Full-time

Re-posted 11 days ago


Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.