Data Scientist-3

AI overview

Lead end-to-end development of machine learning models and collaborate with stakeholders to optimize data logistics and analytics deployment.

As a Data Scientist-3, you will be responsible for:

 

Responsibilities:

  • End to end Machine learning model development - from data collection to preprocessing, cleaning, modeling, hyperparameter tuning, evaluation, interpretation, and deployment.
  • Develop and demonstrate proficiency with multiple languages, platforms, algorithms, and verticals.
  • Ability to learn new algorithms and technologies.
  • Collaborate with internal/external stakeholders to manage data logistics - including data specifications, transfers, structures, and rules.
  • Access and extract data from a variety of sources of all sizes.
  • Provide problem-solving and data analysis, derived from programming experience.
  • Contributing in the development and deployment of applied, predictive and prescriptive analytics.
  • Develop self-learning systems that can predict failures and autocorrect based on data.

 

Requirements:

  • Have good implementation experience with R, Python, Perl, Ruby, Scala, Apache Spark, Storm, and SAS.
  • Experience: (5-8 years)
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