ML Data Scientist

• Strong in data mining, data visualization, and large data sets.
• Experience using Python, R, SQL or equivalent languages and tools
• Experience with Machine Learning and tools such as PyTorch, Caffe, TensorFlow,or Spark and ML model development and implementation.
• Strong understanding of predictive analytics.
• Understanding of Cloud technologies such as AWS, Azure, Google, and SAP.
• Strong Knowledge and experience processing structured, semi-structured and unstructured data
• Experience with data visualization and BI tools such as SAP Analytics Cloud, Tableau, etc.
• Strong history of working directly with the user community on requirements collection, improvements, and support