Technical Requirements:

• Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets
• Strong verbal and written communication skills
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised machine learning
• Experienced in software development and data structures
• Understanding of basic Machine Learning algorithms
• Fluent in Python and/or R
• Experienced in modern Machine Learning libraries
• Fluent in pySpark and/or SparkR
• Fluent in executing data extraction from variety of data sources (Teradata, Oracle, MS SQL, etc.)
• Exposure to any high dimensional, skewed and frequently changing datasets
• Exposure to in Data Visualization
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position
• Continues to evolve skillset via internal and external education opportunities