ZipRecruiter

Log In

1

Statistical Engineering Jobs in Missouri (NOW HIRING)

Eaton

Engineering Specialist - Reliability

Ellisville, MO · On-site

$113K - $165K/yr

  • Medical

  • Retirement

Bachelor's degree in Engineering, Statistics, or related field from an accredited institution. * Minimum 8 years of experience in a technical role. * Minimum 4 years of experience in advanced (R&D) ...

University of Rochester

$77K - $116K/yr

Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming * Experience with interface, networking, and data warehousing technologies, as well as ...

Tamko Building Products, Inc.

Engineering Manager

Joplin, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Engineering Manager plans, directs, and coordinates activities concerned with design ... Understanding of data collection and statistical analysis - Six Sigma experience desired. * Ability ...

New

CMMG, Inc.

Industrial Engineer

Boonville, MO · On-site

$57K - $77K/yr

Engineering Reports To: Director Job Summary The Industrial Engineer analyzes, designs, and ... Analyze data and statistics using tools like Excel or industry-specific software to inform ...

CMMG

Industrial Engineer

Boonville, MO

$57K - $77K/yr

Engineering Reports To: Director Job Summary The Industrial Engineer analyzes, designs, and ... Analyze data and statistics using tools like Excel or industry-specific software to inform ...

TAMKO

Engineering Manager

Joplin, MO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Engineering Manager plans, directs, and coordinates activities concerned with design ... Understanding of data collection and statistical analysis - Six Sigma experience desired. * Ability ...

TAMKO

Engineering Manager

Joplin, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Engineering Manager plans, directs, and coordinates activities concerned with design ... Understanding of data collection and statistical analysis - Six Sigma experience desired. * Ability ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... belt, statistical data analysis, etc. to confirm root causes of problems, and implement ... Bachelor's degree in engineering or related discipline * Experience working in manufacturing ...

US-Farathan

Manufacturing Engineering Manager

Riverside, MO · On-site

$110 - $150/hr

  • Medical

  • Vision

  • Life

  • Retirement

  • PTO

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

previous pagenext page

Showing results 21-40

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Missouri

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 18, 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 are popular job titles related to Statistical Engineering jobs in Missouri?

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

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:

Statistical Engineering jobs near you
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.

Principal Machine Learning Scientist - Agentic Experiences

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted 2 days ago

New

Job description


  • Design, build, and evaluate multi-step agentic AI systems with planning, tool use, memory management, and multi-agent collaboration

  • Research and implement agentic architecture techniques including ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning

  • Develop and maintain agent orchestration frameworks for task decomposition, delegation, failure handling, and recovery

  • Integrate large language models with external tools, APIs, databases, and code execution environments

  • Define and own evaluation frameworks measuring task success, reliability, latency, cost, and safety

  • Collaborate with product, engineering, and research teams to translate business requirements into production-grade agentic solutions

  • Identify and mitigate agentic-system risks such as prompt injection, unintended actions, hallucinations, and unsafe tool use

  • Synthesize academic research and industry developments to inform technical direction

  • Mentor senior ML engineers and scientists on agentic design patterns, LLM practices, and experimentation methodology


Requirements

  • BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience

  • 10+ years of related industry experience

  • Experience designing and deploying agentic or multi-step AI systems in production or research settings

  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX

  • Experience with LLM APIs and orchestration libraries such as LangChain or LlamaIndex

  • Experience integrating LLMs with external tools, APIs, and structured data sources

  • Understanding of prompt engineering, including chain-of-thought, few-shot prompting, and structured output generation

  • Experience defining and running ML-system evaluation frameworks, including offline benchmarking and production monitoring

  • Experience taking models from prototype to production with Machine Learning Engineering teams

  • Advanced degree in Computer Science, Machine Learning, Statistics, or Engineering is preferred

  • Experience in travel or e-commerce is preferred

  • Publications in top-tier ML conferences or journals are preferred

  • Patented inventions are preferred

  • Contributions to open-source ML projects are preferred


Core Competencies

Demonstrates expertise in designing and deploying agentic AI systems, integrating large language models with external tools, and defining evaluation frameworks for performance metrics. Proven ability to mentor teams and translate complex business requirements into effective AI solutions.


Highest-signal resume keywords

  • Agentic AI System Design

  • Python Proficiency

  • LLM API Integration

  • ML System Evaluation Frameworks

  • Mentoring ML Engineers


ATS Optimization Keywords
Hard Skills

  • Machine Learning

  • Agentic Architecture Techniques

  • Prompt Engineering

  • Task Decomposition

  • Failure Handling

  • Tool-Augmented Reasoning

  • Multi-Agent Collaboration

  • Production Monitoring

  • Benchmarking

  • Data Structures


Soft Skills

  • Collaboration

  • Mentoring

  • Research Synthesis

  • Problem Solving

  • Communication


Industry Keywords

  • E-Commerce

  • Travel

  • Machine Learning Engineering

  • Open-Source Contributions

  • Publications in ML Conferences


Tools & Technologies

  • PyTorch

  • TensorFlow

  • JAX

  • LangChain

  • LlamaIndex

  • APIs

  • Databases

  • Code Execution Environments

#J-18808-Ljbffr

Apply