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Statistical Engineering Jobs in Missouri (NOW HIRING)

Strong technical project management, manufacturing engineering, statistical process control capability, and problem‑solving skills. * Excellent technical and mechanical aptitude. * Strong ...

Strong technical project management, manufacturing engineering, statistical process control capability, and problem-solving skills * Excellent technical and mechanical aptitude * Strong understanding ...

Intern: Uptime Management Center

Columbia, MO · On-site

$16 - $20.75/hr

Pursuing a Bachelor's or Master's degree in Data Analytics, Statistics, Engineering, Information Systems, Computer Science, or related field. * Basic knowledge of: Excel (formulas, pivot tables)

Intern: Uptime Management Center

Columbia, MO · On-site

$16 - $20.75/hr

Pursuing a Bachelor's or Master's degree in Data Analytics, Statistics, Engineering, Information Systems, Computer Science, or related field. * Basic knowledge of: Excel (formulas, pivot tables)

Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field * 3+ years of professional experience in data science ...

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 ...

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 ...

... Statistics, Engineering, Mathematics, or a related field 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models 3+ ...

Showing results 41-60

Statistical Engineering information

See Missouri salary details

$57.4K

$67.3K

$75.1K

How much do statistical engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistical engineering in Missouri is $67,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $71,800.00 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 job categories do people searching Statistical Engineering jobs in Missouri look for?

The top searched job categories for Statistical Engineering jobs in Missouri are:

What cities in Missouri are hiring for Statistical Engineering jobs?

Cities in Missouri with the most Statistical Engineering job openings:

Infographic showing various Statistical Engineering job openings in Missouri as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $67,296 per year, or $32.4 per hour.

Manufacturing Engineering Manager

Sora Resource Group

Kansas City, MO • On-site

$110 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Our client is seeking an experienced Manufacturing Engineering Manager to join the team.

This position is responsible for leading the engineering team in design, development, implementation, and continuous improvement of manufacturing processes in a high-volume injection molding manufacturing environment. The Manufacturing Engineering Manager plays a key role in ensuring molded automotive components meet OEM and industry standards. This role ensures engineering solutions align with safety, quality, cost, and delivery objectives, while supporting IATF 16949 standards and lean manufacturing principles.

They have been a leading source of plastics manufacturing, supplying the automotive industry for over 40 years. Through highly technical research and development, coupled with a diverse and knowledgeable Management Team and dedicated Associates, they have continued to grow each year. We provide customers with a wide range of full-service support from black-box design concepts to highly engineered composites, TPE's and TPO's as well as specialized extrusion and compression technologies.

ESSENTIAL FUNCTIONS:
  • Lead and manage daily activities of the engineering department, including manufacturing, process, and engineering.
  • Evaluate current process and GAP analysis from global standards and ensure all molded parts meet automotive quality, durability, and dimensional standards.
  • Manage project launches, tooling equipment installations, and process validations.
  • Drive process improvements, automation, and cost reduction using lean tools (Kaizen, 5S, VSM, etc.).
  • Oversee new product launches, tooling, equipment installations, and process validation.
  • Collaborate with team identifying process improvements and cost reduction opportunities to include scrap and usage.
  • Oversee a team of Process Technicians, Engineers, and the Tooling team across multiple shifts.
  • Manage project timelines, budgets, and resources to ensure successful implementation of engineering initiatives.
  • Responsible for tooling design, documentation, and assessments.
  • Train and implement product and process improvements.
  • Communicate standards and troubleshooting issues for new and existing improvements.
  • Develop and implement production schedules to meet customer delivery timelines and volume targets.
  • Collaborate with Operations, Quality, Maintenance, and supply chain teams to resolve process issues.
  • Monitor and optimize key performance indicators (KPIs) such as scrap rate, cycle time, OEE, and downtime.
  • Drive a safety-first culture and enforce compliance with company safety policies and OSHA regulations.
  • Support APQP, PPAP, FMEA, and control plant development.
  • Maintain plant compliance with IATF 16949, ISO 14001, OSHA, and customer-specific requirements.
  • Develop and mentor Engineering, Tooling, and Assistant Molding Manager for skill enhancement and succession planning.
  • Other duties as assigned.
QUALIFICATIONS:
  • 7+ years of engineering experience in automotive manufacturing, with 5+ years in a leadership role.
  • Minimum of ten years' experience in process engineering, tooling, equipment and process improvement
  • Working knowledge of customer functional performance requirements
  • In-depth understanding and application of concepts, theories, and principles position discipline
  • Proven record in managing cross-functional teams and engineering projects.
  • Prefer plastic injection molding (part design and processing) experience
  • Automated and plastic materials experience
  • Strong technical project management, manufacturing engineering, statistical process control capability, and problem-solving skills
  • Excellent technical and mechanical aptitude
  • Strong understanding of MRP, quality control, purchasing, and accounting
  • Lean manufacturing experience a plus; to include 8D, 5 Why, and Six Sigma problem solving skills
  • Willing and able to travel as necessary
  • Proficient in CAD software, project management tools, and MS office
PHYSICAL REQUIREMENTS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Ability to stand, walk, sit, talk or hear. Ability to lift 5-25 pounds.

WORKING ENVIRONMENT

: General Office environment and manufacturing facility

WHAT IS OFFERED
  • Medical
  • Dental
  • Vision
  • 401k with company match
  • Employee Assistance Program
  • Employee Discounts
  • Flexible Spending Account
  • Life Insurance
  • Paid time off
  • Referral Program
  • Job Promotional Opportunities
  • Climate controlled environment
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