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Statistical Engineering Jobs in Spring, TX (NOW HIRING)

MacroFab

Process Engineering Technician

Houston, TX · On-site

Process Engineering Technician MacroFab is not just a contract manufacturer, but fundamentally a ... Statistical process monitoring * Manufacturing documentation * Equipment troubleshooting * Fixture ...

MacroFab

Process Engineering Technician

Houston, TX · On-site

Process Engineering Technician MacroFab is not just a contract manufacturer, but fundamentally a ... Statistical process monitoring * Manufacturing documentation * Equipment troubleshooting * Fixture ...

Hp

Principal Reliability Engineer

Spring, TX

$91K - $114K/yr

You will work cross-functionally with engineering, procurement, supply chain, and Original Design ... Utilize numerical and statistical analysis methods to assess accelerated test and field data ...

PureWay Compliance, Inc.

Senior Data Analyst

Katy, TX

$90K - $100K/yr

Experience with Python, R, or other statistical programming languages * Experience with AI-assisted analytics and predictive modeling * Experience using Zoho Analytics, Zoho One applications, or ...

New

Amazon

Business Intel Engineer II - AMZ9674069

Houston, TX · On-site

$133K - $160K/yr

Master's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field. * 3+ years of experience ...

New

Pwc

CTIO AI Engineering Manager

Houston, TX

$73K - $244K/yr

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 ...

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Showing results 1-20

All JobsStatistical Engineering JobsStatistical Engineering Jobs in Spring, TX

Statistical Engineering information

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 job categories do people searching Statistical Engineering jobs in Spring, TX look for? The top searched job categories for Statistical Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Statistical Engineering jobs? Cities near Spring, TX with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Industrial Engineering Technician - IB4

Foxconn Industrial Internet - FII

Houston, TX • On-site

Full-time

Re-posted 15 days ago

Job description

Please note that this is a technician-level support role. It is not an engineering design, product development, or engineering ownership position.
 Position Summary
We are seeking a detail-oriented and analytical Industrial Engineering Technician to support process improvement, production efficiency, and quality initiatives within our operations. This role works closely with engineers, production teams, and management to collect data, analyze workflows, and help implement solutions that improve productivity, reduce waste, and maintain safety and quality standards.
Key Responsibilities
  • Assist industrial engineers in evaluating manufacturing processes and operational workflows
  • Collect and analyze production data, including labor utilization, machine performance, cycle times, and material flow
  • Conduct time studies and process observations to identify inefficiencies
  • Prepare reports, charts, diagrams, and documentation related to process improvements
  • Support implementation of lean manufacturing and continuous improvement initiatives
  • Monitor inventory movement and production scheduling accuracy
  • Help develop standard operating procedures (SOPs) and work instructions
  • Coordinate with maintenance, quality, and production departments to resolve operational issues
  • Assist with facility layout planning and workstation optimization
  • Ensure compliance with safety, quality, and company standards
  • Maintain accurate records and technical documentation
Required Qualifications
  • Associate degree or technical certification in Industrial Engineering Technology, Manufacturing Technology, or a related field
  • Basic understanding of manufacturing systems and production processes
  • Strong analytical and problem-solving skills
  • Proficiency with Microsoft Excel and data tracking tools
  • Ability to read technical drawings, process maps, and production documentation
  • Strong communication and organizational skills
  • Ability to work independently and collaboratively in a team environment
Preferred Qualifications
  • Experience with lean manufacturing, Six Sigma, or continuous improvement methods
  • Familiarity with ERP or manufacturing software systems
  • Experience in a manufacturing or industrial environment
  • Knowledge of statistical process control (SPC) methods
  • CAD software experience is a plus
Work Environment
  • Manufacturing plant, warehouse, or industrial facility setting
  • May require standing, walking, lifting, and working near production equipment
  • Occasional overtime or shift flexibility may be required

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