Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions; Formulate problems and translate into Data Science project requirements; Build solutions that can be easily integrated into external frameworks or existing applications; Select appropriate ML modeling techniques for complex problems with large-scale data
Requirements:
Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional); Proven industry experience in solving Retail and Customer science problems; Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies; Experience leading and mentoring data science teams, Effective technical communication to non-technical stakeholders
Text:
Staff, Data Scientist Ideate with stakeholders to identify ML/Deep Learning opportunities for solutions; Formulate problems and translate into Data Science project requirements; Build solutions that can be easily integrated into external frameworks or existing applications; Select appropriate ML modeling techniques for complex problems with large-scale data Expertise in Statistics, Machine Learning, Deep Learning, NLP, and Computer Vision (optional); Proven industry experience in solving Retail and Customer science problems; Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies; Experience leading and mentoring data science teams, Effective technical communication to non-technical stakeholders
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