Our vision is to transform how the world uses information to enrich life for . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. JR43349 Principal Data Scientist As a Principal Data Scientist at Micron, you will Develop machine learning and statistical techniques to build state-of-the-art data products (predictive analytics, prescriptive solutions, decision support, and decision automation data systems) using extensive and diverse Big Data sets from our technology development and manufacturing teams Employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed. Lead MLOPs lifecycle from end-to-end, including solution design, feature engineering, solution development, tools, testing, tuning, and monitoring. Drive Innovation across Data Science, Conduct Technical reviews of projects and Guide all the teams. Participate and solicit work from different functions that can leverage Data Science Solutions Interact with Senior Leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Mentor, Coach and Develop talent within the team Provide Technical Training and Influence technical/business decisions Qualifications: Strong Passion to work with Machine Learning Algorithms in highly automated industrial manufacturing doing analysis on terabytes and petabytes of diverse datasets. Demonstrated experience in working with different technology and application engineering teams to deliver platforms, products & DS solution Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Experience in cloud technologies like GCP/Azure Machine learning and other advanced analytical methods Experience working in a geographically distributed team environment Expert in Python and/or R Experience with pySpark and/or SparkR and/or SparklyR is a plus Knowledge of Hadoop (Hive, Spark, HBase), Snowflake is a plus Experience in Tensorflow, pyTorch, and/or other statistical software, JUMP including scripting capability for automating analyses is a plus Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position Strong software development skills. Strong verbal and written communication skills. Education: B.S. in Mathematics, Computer Science, Data Science, Electrical, Electronics, Chemical or Physics. M.S. or Ph.D. with specialization in Data analytics, mathematics, Physics, Statistics, computer science. Experience: 14+ years in data science and machine learning. Location: Hyderabad
