Quality Engineer: Data-Driven Process Improvement

Oneco 1; San Mateo (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

Oneco 1 is seeking a Quality Engineer to lead statistical analysis for quality improvement within manufacturing processes in California. The role involves identifying testing methods, determining sample sizes, and applying factorial and sampling techniques to improve reliability and product quality.

The candidate will perform data analyses (hypothesis testing, capability analysis) and develop reports with actionable recommendations, while maintaining up-to-date professional knowledge and

Qualifications

• Experience identifying statistical methods relevant to manufacturing processes.
• Ability to establish sampling plans and confidence levels.
• Familiarity with reliability modeling, Weibull distributions, and reliability demonstrations.
• Experience developing experiments using factorial designs (full and fractional).
• Experience applying attribute, variable, and sequential sampling methods.
• Knowledge of statistical process control and charting methods.
• Ability to analyze data, perform hypothesis testing, and assess process capability.
• Willingness to maintain professional knowledge and engage in professional societies.

Responsibilities

• Provides statistical information for quality improvement by identifying testing methods and samples.
• Determines quality improvement parameters by identifying statistical methods relevant to manufacturing processes.
• Establishes statistical confidence by identifying sample size and acceptable error; determining levels of confidence.
• Establishes statistical reliability by using mean time before failure, reliability modeling, and reliability demonstration tests.
• Develops experiments by applying full and fractional factorial techniques.
• Develops sampling plans by applying attribute, variable, and sequential sampling methods.
• Maintains statistical process controls by applying demerit/unit, zone charting, x2 charts for distributions and I-MR charts for multistream processes.
• Analyzes data by performing hypothesis, normal distribution, and process capability tests.
• Prepares reports by collecting, analyzing, and summarizing data; making recommendations.
• Maintains professional knowledge by attending workshops and reviewing publications; networking; benchmarking CQE qualifications.
• Contributes to team effort by accomplishing related results as needed.

Skills

Analyzing Information

Reporting Research Results

Technical Understanding

Promoting Process Improvement

Developing Standards

Managing Processes

Manufacturing Methods

Quality Engineering

Operations Research

Tools

CAD

Job description

Oneco 1 is seeking a Quality Engineer to lead statistical analysis for quality improvement within manufacturing processes in California. The role involves identifying testing methods, determining sample sizes, and applying factorial and sampling techniques to improve reliability and product quality.

The candidate will perform data analyses (hypothesis testing, capability analysis) and develop reports with actionable recommendations, while maintaining up-to-date professional knowledge and