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At the forefront of advanced materials innovation for more than 75 years, Kennametal Inc. is a global industrial technology leader delivering productivity to customers through materials science, tooling and wear-resistant solutions. Customers across aerospace, earthworks, energy, general engineering and transportation turn to Kennametal to help them manufacture with precision and efficiency. Every day approximately 11,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.1 billion in revenues in fiscal 2017. Learn more at www.kennametal.com

 

 

Kennametal is looking for exceptional talent as we continue to roll-out our $300MM global modernization initiative to better serve our customers and advance our organization. This high-visibility, the high-growth opportunity will sit in the Advanced Integrated Manufacturing group and help us drive Industry 4.0 initiatives by applying data analytics and machine learning principles to deliver business outcomes in worldwide plants. We're looking for problem solvers, innovators, and individuals who are interested in making an immediate impact through their contributions.

 

Responsibilities

  • Identify high ROI use cases for Data Analytics and Machine Learning through collaborating with Advanced Integrated Manufacturing, plant management and IT
  • Develop and deploy Machine Learning algorithms including Anomaly detection, Predictive Quality and Predictive Maintenance for various manufacturing processes
  • Develop analytics to drive insights from a large volume of machine data from worldwide plants to improve manufacturing performance
  • Design and develop dashboards to deliver insights to different personas including operators, supervisors, plant managers and executives
  • Design and conduct controlled experiments to validate and improve the accuracy of algorithms
  • Provide feedback to data collection/database management procedures to include information that is needed for building analytic systems
  • Keep up-to-date with the latest Machine Learning use cases and technologies in manufacturing

 

Preferred Qualifications

  • M.S. or Ph.D. from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, or related fields
  • 3 to 5 years of experience in Machine Learning and Data Analytics preferably with data from manufacturing equipment
  • Strong knowledge of ETL, feature engineering and various ML algorithms (clustering, decision tree learning, Artificial Neural Networks, etc.)
  • Extensive experience with programming languages such as Python, Java, and SQL
  • Hands-on experience with visualization tools like Power BI
  • Experience with ML from IoT platforms like Azure and Thingworx
  • Basic understanding of manufacturing processes is a plus
  • Team player and a good communicator


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