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.
The Data Science team in Micron Technology Global Supply Chain is looking for a driven and passionate Data Science Engineer.
Our mission is to utilize data engineering and data science techniques to drive business insights to achieve best in class Supply Chain reliability and responsiveness.
Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable data pipelines to execute machine learning models.
You will collaborate with Data Engineers and Supply Chain experts to build and deploy scalable AI / ML solutions towards an autonomous Supply Chain.
Align to, Understand, and Prioritize Analytic Goals to Address Business Opportunities and Value
Maintain a clear understanding of company and department strategy
Understand business objectives in order to develop or establish success criteria metrics
Translate business problems into one or more data science projects / solutions
Lead Efforts to Identify Signals in Data that Address Use Cases
Understand supply chain business processes (data sources and meaning)
Manage and optimize data discovery and cleansing
Understand and collect relevant data
Identify new data sources in the network and industry that will create new insights to business needs
Explore relevant data through visualization and statistical methods
Collect, Organize, and Prepare Data for Analysis
Work with various volumes of data from multiple disparate sources and perform data analysis and mining to generate solutions to business problems
Ensure processes taken to maintain data integrity
Understand available data and what data is relevant
Collaborate with data architects and data engineers to develop and automate ETL jobs for various volumes of data
Uncover Patterns in Data, Develop Models, and Evaluate Validity of Solutions
Develop expertise in data mining and analytic methods
Determine statistical validity and significance (pick out signals from noise)
Identify and apply appropriate analytical models
Evaluate results using statistical methods and improve the model where appropriate
Deploy Data Science Models into Business Processes
Present findings and deliver recommendations to business stakeholders and senior leadership using effective presentation and data visualization techniques
Industrialize data science solutions into production applications
Ensure that the models are easy to support and maintain
Regularly review deployed models and monitor for continual improvement
Validate that the business value has been met
Masters / PhD or equivalent experience in Data Science / Data Analytics / Statistics / Engineering / Operations Research
Experience in developing and executing end-to-end ML systems or AI solutions, including automating, training, testing and deploying Machine Learning models with either Python, AWS, AZURE, GCP
Familiarity with software architecture (data structures, data schemas, etc.)
Familiarity with Supply Chain concepts and processes
5+ years of experience with big data processing and / or developing applications and data sources
5+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)
Outstanding analytical thinking, interpersonal, oral and written communication skills
Ability to prioritize and meet critical project timelines in a fast-paced environment
Self-motivated and team oriented