Data Science Innovator
3 weeks ago
Transforming how the world uses information is at the heart of our vision at Micron Technology. We are innovators in memory and storage solutions that accelerate the transformation of information into intelligence. Our goal is to enrich life for all by empowering people to learn, communicate, and advance faster than ever.
As a Senior/Staff Engineer, Data Scientist at Micron, you will be responsible for using machine learning and statistical techniques to build state-of-the-art data products. You will employ techniques and theories drawn from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data.
The ideal candidate will have a strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning is essential. A strong ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques is also required.
Additional skills in Design thinking, creating Interactive user interfaces, dashboard using Tableau, Power-BI or to visualize Data science outputs, working with different technology and application engineering teams to deliver platforms, products & DS solution, project managing experience while working on data science projects and cloud technologies like GCP/Azure are highly valued.
We are seeking a Staff Data Scientist who can work independently and guide/Coach Data Scientists in Innovative methods and execution. A strong software development skills, strong verbal and written communication skills, and ability to work in a geographically distributed team are essential for this role. Education in Mathematics, Computer Science, Data Science, Electrical, Electronics, Chemical or Physics or with specialization in Data analytics, mathematics, Physics, Statistics, computer science is also required. Experience in Big Data technologies, Hadoop (Hive, Spark, HBase), Snowflake, and experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
We are an equal opportunity employer and welcome applications from diverse candidates. If you are passionate about working with Big Data and machine learning, we encourage you to apply for this exciting role.
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