Sr. Reliability Engineer

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Marmon Food service Technologies, Inc. As a part of the global industrial organization Marmon Holdings—which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best.

We are seeking a proactive and enthusiastic Sr. Reliability and Data Engineer to join our dynamic team. Reporting to the Reliability Engineering Manager, this position is responsible for analyzing warranty and other field data to help us better understand our existing product performance in the field, customer habits and behaviors, as well as how those products are serviced and maintained. In addition, this role will also utilize those data insights to perform Design for Reliability activities in support of New Product Development.

This opportunity fills a critical role on our Reliability Engineering Team to better connect and correlate our new product development process to the field performance of existing product lines, allowing us to focus engineering resources where they will have the greatest impact, improve product reliability, and accurately predict and forecast that product reliability at launch.

• Support New Product Development (NPD) through a Design for Reliability methodology
• Develop new or update existing procedures for lab testing that accurately model or predict field performance of product
• Analyze products or components that have failed in the lab or in the field to determine root cause and improve future product or test design
• Extract data from SQL and implement effective strategies to optimize data quality and extraction processes
• Clean data from multiple sources to use in analysis, ensuring the accuracy and integrity of the data for analysis
• Data mine free text comment fields for trends and patterns
• Build Power
  
  BI dashboards to create clear visualizations and reports that effectively depict data insights
• Engage with project teams to understand project needs/requirements and provide technical expertise using data and analytical tools
• Develop predictive models and machine learning algorithms to uncover patterns/trends
• Write thorough and concise tests and process procedures
• Continually enhance data collection procedures to include relevant data for analysis
• Work closely with IT teams to maintain system performance and ensure maximum uptime
• Proactively identify opportunities to improve data systems and processes

• Independent Self-Starter:
  Takes prompt, proactive action to accomplish work goals with limited oversight
• Collaborative Partner:
  Uses interpersonal skills to communicate effectively with cross-functional teams
• Detail Oriented Team Member:
  Accuracy in work and code, with a passion for being free of errors
• Problem Solver:
  Using creative and logical thinking to devise effective solutions

• Bachelor's or Master’s degree in an Engineering or Physics discipline
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Excellent problem-solving skills, ability to adapt in a fast-paced and changing environment
• Strong communication skills, with the ability to explain complex concepts to non-technical audiences

• 8+ years of relevant experience in a quality, test, new product development, or other engineering role
• Field Data Analysis:
  Collect and analyze data from products in the field to identify reliability trends and report needed design changes.
• Experience with new product development process and the types of defects driven by product design
• Exposure to a manufacturing environment and the types of defects driven by MFG
• Experience with statistical analysis tools such as Reliasoft Weibull++, Minitab
• Exposure to or Experience Performing Hands‑on Failure analysis work
• Application of Python, Command line, Power BI, SQL to…