Smart Manufacturing and Artificial Intelligence
2 weeks ago
**Job Summary**:
**Job Type**
Permanent
**Seniority**
**Years of Experience**
Information not provided
**Tech Stacks**
ETL TensorFlow AngularJS Analytics Teradata R SSIS pySpark HBase Hive Spark JavaScript SQL Hadoop Python
- JR46126 Smart Manufacturing and Artificial Intelligence (SMAI) Innovation Data Scientist 1
- **Responsibilities Include, But Not Limited To**
- 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.
- 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
**Education**
- B.S. in Mathematics, Computer Science, Data Science and Physics.
- M.S. or Ph.D. with specialization in Data analytics, mathematics, Physics, Statistics, computer science.
**Experience**
- Data science and machine learning experience is helpful
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