Data Science Manager - Smart Manufacturing and AI

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR21252 DATA SCIENCE MANAGER SMART MFG & AI

Our vision is to transform how the world uses information to enrich life.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Data Science Manager – Smart Manufacturing and AI

As a data science manager at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solution, integrated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to enhance Micron’s product development, business and administrative processes across the company.

Responsibilities and Tasks

• Work with smart manufacturing strategy leads to develop and deploy smart manufacturing applications to all Micron Fabs.
• Influence and develop data science strategies and applications
• Provide technical consulting and hands-on assistance to Fab area teams to create and/or identify best solutions, troubleshoot existing solutions, and deploy new solutions.
• Assist in the troubleshooting of escalated application issues and provide solutions and/or coaching for resolution
• Evaluate applicable area solutions, including third-party software and hardware selection, if appropriate.
• Stay current with area-specific business practices at each site.
• Promote and apply broad areas of mathematics, statistics, information science, and computer science, including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, artificial intelligence, and high performance computing
• Strong software development skills.
• Strong UI/UX design skills
• Strong knowledge in Web Technologies (Angular)
• Lead research in and keep up to date on the latest developments and trends in data science tools and techniques
• Conduct interviews, evaluate jobs to be done, and develop prototypes working with data scientists & engineers to create machine learning models, develop it to an application with an intuitive user interface, integrate with any pre-existing systems, demonstrate?successful use cases and wins. 
• Partner with business leaders to Identify gaps, weaknesses, and inefficiencies in business processes and work closely with them to define future state solutions to improve business performance.

Qualifications

• Master’s degree or at least 8 years of work experience in data science.
• Hand-on experience in Data analytics, Data Engineering and Full Stack application development (Angular). Cloud Knowledge (GCP) is added Advantage.
• Superb interpersonal skills with demonstrable ability to effectively lead and present to small and large groups. Work multi-functionally with peers and senior and mid-level management.
• Peer leadership and relationship management skills,
• Strong analytical and problem-solving skills
• Highly organized and ability to remain flexible to the changing business needs.