Principal Data Scientist

Key Skills

Aartificial intelligence, Apache Hadoop, Apache Hive, Azure, Big Data Technology, Data cleaning / Data cleansing, Data science techniques, Design, Effective communication skills, Google Cloud Platform (GCP), HBase, Machine learning techniques, PySpark, Python Programming, R Programming, SPARK Programming, SQL

Job Description

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

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com