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Statistical Engineering Jobs in Festus, MO (NOW HIRING)

Wood Plc

Junior Water Resources Engineer

Saint Louis, MO

$76K - $105K/yr

Statistical Analyses * Stormwater Modeling * Green Infrastructure planning & design Company Overview Wood is a global leader in engineering and consultancy across energy and the built environment ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

What You'll Need to Succeed * * BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field * Minimum of (3) three years ofSDLC experience in ...

Intellectix

Senior Storage Engineer

Arnold, MO · On-site

Adhere to engineering and architecture standards and participate in technical review meetings as ... Ensure systems are monitored, and statistics relevant to capacity, performance, utilization, etc ...

Intellectix

Senior Storage Engineer

Arnold, MO · On-site

Adhere to engineering and architecture standards and participate in technical review meetings as ... Ensure systems are monitored, and statistics relevant to capacity, performance, utilization, etc ...

Pwc

Digital Engineering Consultant_ Manager

Saint Louis, MO · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineering Consultant Manager, you will specialize in optimizing operational efficiency and ... Statistics, Operations/Supply Chain, Project/Technology Management, Science - Utilizing Lean ...

Deloitte

AI Engineer Consultant

Saint Louis, MO · Hybrid

Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) * 2+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models ...

LHH US

Tableau Developer

Saint Louis, MO

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data engineering, IT, and business teams on enterprise analytics initiatives ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or related ...

Merck Group

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

  • Medical

  • Retirement

  • PTO

Strong background in statistical analysis, data exploration, and working with large-scale datasets. * Experience with feature engineering, data preprocessing, and data * Seasoned hands-on coder ...

LHH US

Tableau Developer

Saint Louis, MO

$100K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data engineering, IT, and business teams on enterprise analytics initiatives ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or related ...

Watlow

Senior Manufacturing Engineer

Saint Louis, MO · On-site

$88K - $121K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proficient in engineering tools such as CAD, GD&T, statistical analysis (SPC, capability), and basic programming/configuration for relevant controls or data systems. * Working knowledge of industrial ...

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Showing results 41-60

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Festus, MO

Statistical Engineering information

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.
Statistical Engineering jobs near you

GOLANG DEVELOPMENT ENGINEER

Workforce Connections

Saint Louis, MO • On-site

Contractor

Re-posted 12 days ago

Job description

GOLANG DEVELOPMENT ENGINEER

Location: Remote (U.S. – National)
Schedule: First shift, 5x8
Duration: 10-month contract
Position Type: Contract only

Overview

This role focuses on designing, developing, and implementing enterprise-level software solutions, with an emphasis on API development and modern application architecture. You’ll collaborate with cross-functional teams—including architects, data modelers, business analysts, and engineers—to deliver scalable, secure, and high-quality solutions.

Key Responsibilities

  • Design, develop, and enhance software components such as APIs, service interfaces, business logic, and data access layers

  • Write clean, efficient, and well-tested code for new features and bug fixes

  • Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives

  • Complete committed user stories and story points within each sprint

  • Create and execute unit and integration tests

  • Collaborate with QA and engineering peers to ensure sprint commitments are met

  • Contribute to technical design documentation and implementation plans

  • Assess functional and non-functional requirements and propose effective technical solutions

  • Identify risks, blockers, and architectural impacts early and recommend solutions

  • Adapt to new tools, technologies, and development standards as needed

Required Qualifications

  • Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Mathematics, Statistics)

  • 2–4 years of professional software development experience (or equivalent hands-on experience)

Technical Skills (Required / Preferred)

  • Strong experience delivering clean, secure, and reliable code in Go (Golang)

  • Experience with API development and application/software development

  • Familiarity with FHIR data handling

  • Understanding of software design principles and programming concepts

  • Experience working with CI/CD pipelines, code quality gates, and test coverage

Soft Skills

  • Ability to work independently while collaborating effectively with a team

  • Strong problem-solving and analytical skills

  • Willingness to learn and grow within a technical specialty

  • Comfortable estimating work and adjusting based on feedback from senior engineers

What a Typical Day Looks Like

  • Pick up user stories and deliver committed work each sprint

  • Write, review, and refine code through peer reviews

  • Collaborate closely with senior and lead engineers to clarify requirements

  • Raise blockers early and incorporate feedback quickly

  • Ensure work meets quality, performance, and reliability standards

Not eligible for Corp2Corp

Candidates must be legally authorized to work in the US without sponsorship.

CLIENT does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.