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Statistical Process Control (SPC) Provide world class manufacturing and quality engineering technical support to the manufacturing areas and product launch activities that meet or exceed customer expectations.
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The Engineer will be primarily concerned with increasing productivity through management of process improvements using Lean Manufacturing, SPC (Statistical Process Control) or Six Sigma methods.
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The Analyst II, Quality Engineer has a direct impact by being a part of an engineering team that collaborates closely with operations on the floor to observes processes, and work with associates and the process engineer to develop and troubleshoot analytical tools to improve the business.
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The Sr Quality Engineer collaborates with other disciplines to include manufacturing engineers, tool technicians, manufacturing support personnel, suppliers, and the customer on assembly and production operations and maintains up-to-date on industry best practices.
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This role supports complaint/CAPA investigations, supplier quality improvement, operations production and process controls, and product and service quality improvement with the use of statistical techniques and other accepted quality principles.
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The Quality Engineer reports directly to the HMD Quality Manager or the Holtec Quality Manager of Manufacturing. Ability to use metrology and statistical methods to diagnose and correct improper quality control practices.
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JOB PURPOSE AND REPORTING STRUCTURE : Under the direction of the Quality Manager, the Sr. Quality Engineer develops, implements and evaluates quality systems to economically control raw material, in-process and finished products to meet engineering specifications, functional requirements and customer needs, in accordance with company policies and procedures.
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3+ years of experience with R, Python, Weka, SAS, Matlab, or other statistical/machine learning software. The ideal candidate has deep experience in delivering high-quality business intelligence tools with industry leading solutions, such as Tableau, Power BI, etc.
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The Process Development Engineer, Technology & Innovation aims to work independently or as part of a team to support the development of innovative process technologies at the manufacturing sites to support safety, quality, production, and cost targets.
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Experience in the field of technical Production Engineering and quality methodology such as statistical process control (SPC) and FMEA is a plus. This position is for a First Line Support Production Engineer to analyze production data (ex: Disturbance Notifications (DN), Material Notifications (MN.
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We are looking for an entry level Product Quality Engineer on the LM Rotary & Mission Systems (RMS) programs in Syracuse, NY. This position will review sell-off and shipping documentation to ensure contractual requirements are met, perform Quality reviews on outgoing shipments in the Shipping department, process scrap, generate STO's for cross plant returns in Shipping, and will also be assigned to support program deliveries.
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Experience building and implementing a Quality Management System Knowledge and application of a functioning Quality Management System elements including Statistical Process Control, FMEA, Quality KPIs, etc, Quality Improvement experience in a Total Performance Management (or related program) environment.
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Job Description: The Quality Engineer is responsible for maintaining quality of post-market performance of medical devices. Develops and executes plans for quality and control to ensure manufacturing continuity and product conformance.
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Ability to analyze problems, develop and propose engineering solutions in a scientific manner using data-driven techniques and analyses (e.g., Root Cause Analysis (RCA), Statistical Process Control (SPC), Six Sigma, Predictive Maintenance, etc.
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Working knowledge of statistical analysis, thermal analysis, computational fluid dynamics, and multiphase physics analysis. The selected candidates should understand and be proficient in the development of thermal/mechanical solutions at the silicon, package, and system-level for semi-conductor products; data analysis and characterization, optimization of packaging for increased quality and cost improvement of high-end semiconductor products such as microprocessors.
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