Staff Engineer Data Scientist
Company Name:-
Micron Technology
Job Location:-
Hyderabad, Telangana
Job Summary:-
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.
We are seeking a Staff Data Scientist capable of using 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.
As a Staff Data Scientist at Micron, you will
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.
Interact with Data Scientists at both senior and junior levels and cross functional teams to solve business critical problems using machine learning.
Independently develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
There will be significant opportunities to perform exploratory and new solution development activities and drive innovation.
Guide/Coach Data Scientists in Innovative methods and execution
Qualifications:
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 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.
Machine learning and other advanced analytica
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