Sr/Data Scientist

• Company Nexperia
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Its part of central factory automation group of Nexperia for all of its Back End sites. Analytics is a key strategy for factory automation and data scientist is responsible for identifying avenues wherein techniques like machine learning, artificial intelligence, predictive analytics, data based decision making can help Nexperia BE sites to deliver more OEE, more Yield, reduce cost of manufacturing , more productive workforce etc . Data scientist is also responsible for introducing the new concept to factories and prepare workforce to adapt them, manage them and in-time also develop new algorithms.

What You Will Do

• Understand the factories , manufacturing process , data availability and avenues for improvement
• Define , together with engineering, manufacturing and quality problems that can be solved using predictive, machine learning or AI algorithms
• Help factory and internal teams to estimate proposed solution value gain and quantify solution impact post rollout
• Define what data is required to create a solution and work with connectivity engineers , users to collect the data
• Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data
• Develop solution using predictive, machine learning, AI techniques that delivers value to factory
• Deploy and monitor the solution
• Identify key users and train them to create more data scientists in the factory over time
• Create a AI roadmap for Nexperia BE sites
• Be an innovation partner , connect with outside universities, thought leaders and help bring new solutions to Nexperia

What You Will Need

• Graduate Engineer – preferably in Mechanical or Industrial engineering or computer science
• Minimum 5-10 years of experience- spanning various exposure areas
• Proven ability to work with multi cultural , multi location teams
• Experience in large IT project implementation related to Supply Chain management, factory scheduling, big data data lake architectures is a plus
• Proven track record of ability to ideate, develop unique solutions using data science