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Lead Data Scientist

Job Description and Requirements

Key Responsibilities:

  • Perform all the phases of a data science project: business understanding, data understanding and preparation, exploratory analysis, modeling, model evaluation, communicating results and business value of a model to the product leadership and finally deploying your data product.
  • Manage your activities, scope and timelines on the projects with minimum supervision.

Essential requirements:

  • 7+ years of relevant experience in the data field.
  • Fluency with at least one scripting language such as Python.
  • Strong applied mathematical and statistical skills regardless of the tools.
  • Demonstrated experience in implementing ML algorithms from scratch and developing an algorithm documentation to be communicated with the other data scientists.
  • Basic knowledge of visualization tools (Tableau, Qlikview, etc.)
  • Proficiency in using query languages such as SQL.

Desirable requirements:

  • Experience with Python libraries such as numpy, pandas, etc...
  • Experience with ML libraries such as SKLearn, MADlib, etc...
  • Experience with ML frameworks such as TensorFlow, Keras, etc...
  • Solid understanding of deep learning techniques.
  • Experience with Big data tools is very much preferred (Hadoop, Spark, etc.).

We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.
If you’re ready to play an instrumental role in our strategic development, this is your opportunity to develop with Dell.