With over 80 years as an industrial technology leader, Kennametal Inc. delivers 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 10,000 employees are helping customers in more than 60 countries stay competitive. Kennametal generated nearly $2.4 billion in revenues in fiscal 2019. Learn more at . Follow @Kennametal: Twitter, Instagram, Facebook, LinkedIn and YouTube.

Job description

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, high-growth opportunity will 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 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 accuracy of algorithms

Preferred Qualifications

• M.S. or Ph.D. students from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, or related fields
• Proficiency in Python or R
• Hands on experience with state-of-art Machine Learning libraries
• Familiar with IoT platforms like Azure
• Familiar with business systems like SAP
• Experience with visualization tools like PowerBI
• Basic understanding of manufacturing processes is a plus

Equal Opportunity Employer