Data Scientist - Academic Operations

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Job Description

  • Own the quality of end to end learning experience for our global flagship programs in the domain of analytics, data science and artificial intelligence
  • Own the hands on development of all the different components of the learning experience, including but not limited to video content, hands-on/ labs material, projects and various other learning activities/interventions. This will include engaging with SMEs/faculties/industry experts.
  • Be a mentor / training assistant to hundreds of global professional by providing technical support, guidance and feedback in a timely manner
  • Develop and leverage analytics powered solutions to continuously monitor and identify opportunities to improve quality of the learning experience in terms of appropriateness, accuracy, richness and outcomes. This will involve solving a variety of business problems using data.
  • Be an active contributor to organization building by identifying and executing on various growth as well as capability development opportunities, in terms of new products or processes.

Qualifications

  • 1+ years of working experience in Data Science, Analytics or Artificial Intelligence
  • Have solved an end-to-end business problem or been part of a problem-solving journey
  • Strongly mandatory - 1+ year experience in using SQL to query data and Python to manipulate data and draw insights from large data sets
  • Experience in creating and using machine learning algorithms and statistical modeling methods
  • Strong written, verbal, and presentation skills with the ability to work through complex concepts in easy-to-understand language
  • Experience with open-source DL toolkits such as TensorFlow, PyTorch, Hugging Face