Micron Technology is seeking a talented Associate Data Science Engineer to join our dynamic team. As a global leader in memory and storage solutions, we're committed to innovation and excellence. In this role, you'll leverage your data science expertise to drive insights and optimize our operations. Your responsibilities will include developing predictive models, analyzing complex datasets, and collaborating with cross-functional teams to deliver data-driven solutions. If you're passionate about turning data into actionable intelligence and want to contribute to a cutting-edge technology company, this is the opportunity for you.
Name of the
Organization: Micron Technology
Requisition
ID: 24008919
Positions: Associate
Data Science Engineer
Location: Hyderabad
Salary: As per
company Norms
Educational
Qualifications:
- B.S. or B.Tech or B.E. in Mathematics, Computer Science, Data Science and Physics.
Responsibilities:
- 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.
- Strong software development skills.
- Strong verbal and written communication skills.
- Experience with or desire to learn:
- Machine learning and other advanced analytical methods
- Fluency in Python and/or R
- pySpark and/or SparkR and/or SparklyR
- Hadoop (Hive, Spark, HBase)
- Teradata and/or another SQL databases
- Tensorflow, and/or other statistical software including scripting capability for automating analyses
- SSIS, ETL
- Javascript, AngularJS 2.0, Tableau
- 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
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