Principal Supply Chain Engineering Analyst

Seagate Technology•Longmont, CO

6d•Onsite

About The Position

Our Supply Chain Engineering team collaborates with suppliers across the globe to deliver high quality components for our cloud storage products. We interface with Design Engineering, Materials Planning and our Factories during the product development phase to ensure components are highly manufacturable. We are seeking a high energy individual with HDD design experience and a strong background in data analytics/data science.About the role - you will: Implement new data workflows and use the data to discover insights that improve designs and processes. Have capability in data analysis and machine learning that can be applied to supply chain management. Analyze complex datasets, develop predictive models and provide actionable insights. Collaborate with cross-functional teams, including design engineering, logistics and IT to understand business needs and translate them into data-driven solutions. Design and conduct experiments to test hypotheses and validate models. Create and maintain dashboards and reports to communicate findings and track key performance indicators. Set up analytic workflows for data coming in from our suppliers. Will be using Machine Learning and AI tools to analyze data and identify insights. Identify strategies for optimizing supplier processes.

Requirements

At least 10 years of experience in HDD design engineering.
At least 5 years of experience using Machine Learning and Data Analytics.
Problem solving.
Project management.
Proficient with Microsoft Tech Suite (Word, Excel, Powerpoint etc.).
Experience with Python (specifically data-oriented packages like Pandas, Numpy, Sklearn, Keras, etc.).
Experience with version control software such as Git/Github.
Familiarity with machine learning techniques including both classic statistical approaches and neural networks.
Curious, with interest and success in a technical environment.
Ability to learn and apply design of experiments methodologies.
Ability to learn and understand statistical process controls.
Good project management skills.
Commitment for completing projects on time.
Able to write engineering reports and deliver presentations.
Excellent organizational skills with the ability to balance multiple demands and thrive in a collaborative and fast paced environment.
Self-motivated, can work with a team but also independently to achieve goals.

Responsibilities

Implement new data workflows and use the data to discover insights that improve designs and processes.
Have capability in data analysis and machine learning that can be applied to supply chain management.
Analyze complex datasets, develop predictive models and provide actionable insights.
Collaborate with cross-functional teams, including design engineering, logistics and IT to understand business needs and translate them into data-driven solutions.
Design and conduct experiments to test hypotheses and validate models.
Create and maintain dashboards and reports to communicate findings and track key performance indicators.
Set up analytic workflows for data coming in from our suppliers.
Will be using Machine Learning and AI tools to analyze data and identify insights.
Identify strategies for optimizing supplier processes.