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Senior Data Scientist I

Reed Elsevier

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2-4 Years
a month ago
37 Viewed
1 Applied

Job Description

  • Working knowledge of SQL and Python for data science (ex: Pyspark, Pandas, Jupyter, Numpy, visualisation libraries)
  • Working knowledge of big data technologies within the Hadoop ecosystem, in particular SPARK, ETL and data pipelines
  • Understanding of statistics for data analytics (ex: confidence levels, tests).
  • Working experience of Machine learning (ex: Large Language Models) and libraries (ex: Keras, PyTorch, Scikit-learn).
  • Collecting data, data analysis, model development,
    defining quality metrics, quality assessment of models and regular
    presentations to stakeholders.

Requirements
  • Have 2 years of relevant applied experience and Msc/MTech in the field of Machine Learning, computer science, data science
  • Have knowledge of Python, able to write unit tests and
    production ready code adhering to best practices and
    object-oriented programming principles.
  • Be a very good communicator and presentation skills,
    in particular proven ability to convey data science concepts effectively to non-technical audiences
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