GEP

Principal Data Scientist - AI

rpa+ai+ml

Job Description

  • MS/PhD degree in Computer Science, Computer Engineering, Applied Mathematics, Operations research or related technical discipline with 5+ years of industry experience in Data Science

  • Experience working with supervised/unsupervised learning ML models such as support vector machines (SVM), neural networks, Bayesian models, CNN, RNN, computer vision techniques, reinforcement learning etc
  • The ideal candidate will have a wide coverage of the different methods/models, and an in-depth knowledge of some
  • Demonstrated experience in natural language understanding
  • Strong coding experience in Python, R and Apache Spark
  • Python Skills are mandatory
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc
  • Proven ability of working on open-source frameworks such as Keras, TensorFlow, SparkML, H20 etc
  • Experience of working on Microsoft Azure is a plus although not mandatory
  • Proven experience writing production-grade software Extensive experience in model development and life-cycle-management in one or more industries

Key Skills


Procurement; Computer science; NoSQL; Coding; Machine learning; MongoDB; Open source; Python; HBase; Business operations

About Company


GEPdelivers transformative supply chain solutions that help global enterprises become more agile and resilient, operate more efficiently and effectively, gain competitive advantage, boost profitability and increase shareholder value.

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