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Statistical Engineering Jobs in Oklahoma (NOW HIRING)

TDW

Quality Assurance Engineer II

Tulsa, OK · On-site

Bachelor of Science degree in Statistics, Engineering, or other technical discipline preferred * 3 years Quality Engineering or Supplier Quality Engineering experience with an ISO 9001 certified ...

T D Williamson

Quality Assurance Engineer II

Tulsa, OK · On-site

Bachelor of Science degree in Statistics, Engineering, or other technical discipline preferred * 3 years Quality Engineering or Supplier Quality Engineering experience with an ISO 9001 certified ...

DEMA Engineering

$63K - $82K/yr

DEMA Engineering Company is seeking a Manufacturing Engineer who is ready to dig into complex ... Develop and sustain process controls, including process capability analysis and statistical process ...

Bobrick

Engineering Intern - Summer Internship

Durant, OK

$13.50 - $17.50/hr

Understanding of engineering principles, probability, statistics, and process optimization * Ability to apply calculations, ratios, and technical analysis to solve real-world problems * Occasionally ...

New

Bobrick

Engineering Intern - Summer Internship

Durant, OK · On-site

$13.50 - $17.50/hr

Understanding of engineering principles, probability, statistics, and process optimization * Ability to apply calculations, ratios, and technical analysis to solve real-world problems * Occasionally ...

New

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All JobsStatistical Engineering JobsStatistical Engineering Jobs in Oklahoma

Statistical Engineering information

See Oklahoma salary details

$56.5K

$66.3K

$74K

How much do statistical engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for statistical engineering in Oklahoma is $66,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $70,800.00 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 Oklahoma? For Statistical Engineering jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Oklahoma look for? The top searched job categories for Statistical Engineering jobs in Oklahoma are:
What cities in Oklahoma are hiring for Statistical Engineering jobs? Cities in Oklahoma with the most Statistical Engineering job openings:
Statistical Engineering jobs near you
Infographic showing various Statistical Engineering job openings in Oklahoma as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,299 per year, or $31.9 per hour.
Quality Assurance Engineer II

Quality Assurance Engineer II

TDW

Tulsa, OK • On-site

Full-time

Re-posted 3 days ago

Job description

At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.
Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.
The Quality Assurance Engineer is responsible to assist the Quality Manager to develop the quality system in accordance with corporate policies, goals and objectives and the requirements of ISO 9001:2015, hence to contribute to improve the overall quality performance of the Company.
Key Responsibilities
Primary duties may include, but are not limited to:
  • Leads process and product improvement projects in the development of quality programs and procedures for TDW to ensure data collection is structured, managed, and utilized to benefit TDW's quality system.
  • Utilizes appropriate quality tools (e.g., problem solving and root cause analysis, lean and Sig Sigma) to help resolve issues related to non-conformances.
  • Supports the Material Review Board (MRB) to ensure that material is distributed appropriately and quickly.
  • Utilizes statistics, problem solving and other quality tools to monitor and improve TDW's business processes and to help troubleshoot production process and product issues.
  • Manages manufacturing related NCR/CAR (Non-Conformance Report / Corrective Action Request) activities to ensure timely administration of activities and records
  • Identifies and facilitate the resolution of problems at manufacturing sites
  • Provides regular reports detailing performance to key metrics including Cost of Failure
  • Designs any special testing requirements for evaluation of components or sub-assemblies that are manufactured.
  • Stays current on applicable weld regulations and reviews welding practices, inspections, and procedures to support compliance and continuous improvement.

Experience
  • Bachelor of Science degree in Statistics, Engineering, or other technical discipline preferred
  • 3 years Quality Engineering or Supplier Quality Engineering experience with an ISO 9001 certified company required, including experience supporting welding processes in a manufacturing environment.
  • Quality System Auditor certification (e.g., ASQ Certified Quality Auditor or RAB/QSA Certified Lead Auditor) preferred.
  • ASQ Certified Quality Engineer and/or Six Sigma certification preferred.
  • Experience with statistical DOE, SPC, ANOVA, Regression and Theory of Constraints.
  • Experience with statistical software such as Minitab, R or SAS.

Knowledge, Skills, and Abilities
  • Good understanding of Design Failure Mode Effect Analysis (DFMEA) and Process Failure Mode Effect Analysis (PFMEA).
  • Working knowledge of Advanced Product Quality Planning (APQP) tools preferred.
  • Working knowledge of Lean Manufacturing and Six Sigma Black Belt preferred.
  • Demonstrated ability to create, develop, organize and utilize complex databases in a quality environment.
  • Thorough understanding of advanced statistics and their application in an industrial environment.
  • Excellent written, verbal, presentation and multimedia communications skills.
  • Intermediate MS Office skills.
  • Ability to travel (internationally and domestically), up to 20% of the time.

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