.. • Knowledge of other mobile technologies and UI/UX standards • Understanding of Apple’s design principles and interface guidelines. • Knowledge of low-level C-based libraries is preferred • Familiarity with cloud message APIs and push notifications. • Knowledge of Unit Testing and CI/CD is .. read more
Our vision is to transform how the world uses information to enrich life for all. 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 ScientistAs 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 teamsEmploy 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 SolutionsInteract with Senior Leadership, and cross functional teams to define scope, identify risks, deploy scalable solutions & lead multiple projects executionMentor, Coach and Develop talent within the teamProvide Technical Training and Influence technical/business decisionsQualifications: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 solutionExperience 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 methodsExperience working in a geographically distributed team environmentExpert in Python and/or RExperience with pySpark and/or SparkR and/or SparklyR is a plusKnowledge of Hadoop (Hive, Spark, HBase), Snowflake is a plusExperience in Tensorflow, pyTorch, and/or other statistical software, JUMP including scripting capability for automating analyses is a plusExperience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plusExperience working with Manufacturing Execution Systems (MES) is a plusExisting papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research positionStrong software development skills.Strong verbal and written communication skills.Education: in Mathematics, Computer Science, Data Science, Electrical, Electronics, Chemical or Physics. or with specialization in Data analytics, mathematics, Physics, Statistics, computer science.Experience:14+ years in data science and machine learning.Location: Hyderabad