RRemoteville

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Scribd, Inc. logoScribd, Inc.

Data Scientist II

Skills
SQLApache SparkBayesianBayesian StatisticsData ScienceDeep LearningFine Tuning
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 2-3 years of experience in developing and deploying machine learning models
  • Intermediate level or greater experience with SQL or Spark
  • Intermediate to advanced knowledge of Python
  • Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, computer vision, Bayesian statistics, or frequentist statistics
  • Interest in learning necessary skills to solve business problems and create positive business impact
  • Bachelors or Masters in a relevant quantitative discipline (e.g., Computer Science, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics, Economics)

Nice to have

  • Love for books
  • Curiosity
  • Collaborative spirit
  • Eye for impact
  • Enjoy sharing knowledge
  • Excited to build models

Day to day

  • Focus on various content classification use cases in your first year leveraging NLP and fine tuning of LLMs
  • Investigate methods of solving Scribd's most challenging problems at scale
  • Collaborate with Data Scientists and Machine Learning Engineers to operationalize data science projects
  • Use algorithms from Scikit-learn, NumPy models, PyTorch to third party LLM APIs
  • Process massive amounts of data using Python, SQL and Spark
  • Communicate approaches and results of projects to stakeholders through written and verbal methods and produce detailed project write-ups

Hiring process

  • Interview process to be accessible for everyone
  • Inform about any adjustments
  • Equal employment opportunity
  • Diversity of perspectives encouraged