Data Science Engineer,SMART MFG & AI

Data Science Engineer,SMART MFG & AI

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Job Description

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.
Do you believe that data provides groundbreaking insight Do you see data as an asset that builds a competitive advantage Great…so do we!
Micron Technology operates in a highly competitive industry where innovation depends on hardworking minds extracting fresh insights from an ever-expanding data universe. We are seeking an experienced Data Engineer capable of designing and implementing large data solutions from data streams and intelligent systems, including transforming, supporting, configuring and enhancing existing data solutions. Are you experienced in applying Data Science & Data Engineering, advanced analytics and Machine learning to traditional data warehousing and Big Data, never-before-solved problems for industrial manufacturing at scale Does this sound like the right team for you Apply today!
As a Data Science Engineer at Micron Technology Inc., you will be a key member of a cross-functional team responsible for developing and growing Micron's methods and systems for extracting new insight for our expanding data streams. You will be collaborating with other data scientists, solution analysts, engineers, technicians and data mining teams to design and implement systems to extract data from Micron's business systems, transforming it into an actionable format, and as needed, creating dynamic presentation layers for use by high-level engineers and managers throughout the company. You will be creating new solutions, as well as, supporting, configuring, and enhancing existing solutions.
Responsibilities and Tasks
Understand the Business Problem and the Relevant Data
  • Maintain an intimate understanding of company and department strategy
  • Translate analysis requirements into data requirements
  • Identify and understand the data sources that are relevant to the business problem
  • Develop conceptual models that capture the relationships within the data
  • Define the data-quality objectives for the solution
  • Be a subject matter expert in data sources and reporting options
Architect Data Management Systems
  • Leverage understanding of the business problem and the nature of the data to select appropriate data management system (SAP HANA, SAQL Server, Big Data, OLTP, OLAP, etc.)
  • Design and implement optimum data structures in the appropriate data management system (SAP HANA, SQL Server, Cloud Data warehouse etc.) to satisfy the data requirements
  • Plan methods for archiving/deletion of information

Develop, Support, Automate, and Orchestrate an Ecosystem of ETL Processes for Varying Volumes of Data
  • Identify and select the optimum methods of access for each data source (real-time/streaming, delayed, static)
  • Determine transformation requirements and develop processes to bring structured and unstructured data from the source to a new physical data model
  • Develop processes to efficiently load the transform data into the data management system
  • Troubleshoot operational escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities.
Generate Insights
  • Discovering new solutions and opportunities by analyzing data, identify patterns and trends
  • Collecting & modelling large sets of structured and unstructured data from disparate sources
  • Devising and applying models and algorithms for mining data.
  • Working with unstructured data like video, images, etc.
Qualifications and Experience:
  • Core statistical knowledge is required to be successful in this role. A degree or certification in Data science will be a plus.
  • 2+ Years of knowledge in predictive & prescriptive modelling, machine learning.
  • 3+ years developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions
  • 3+ years of experience working with SAP HANA, SQL Server, SSIS and Power BI or Tableau platforms
  • Strong working knowledge of databases (Oracle, MSSQL, etc.) including SQL and NoSQL.
  • Experience with one of the clouds is a plus (Azure, Google cloud or Snowflake)
  • Experience with one of the following is a must. (R, Python, MATLAB, SAS)
  • Experience working with any of the following technology or solutions is a plus (SAP, JDA, Salesforce, Big Data platforms, Cloud, AutoML, Blockchain)
  • Strong communication skills (written, verbal and presentation)
  • Experience working in a global, cross-functional environment
  • Ability to travel as needed
B.S. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics or related field of study.
M.S. degree preferred

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