Remote Data Scientist II

closed
Logo of Scribd

Scribd

πŸ’΅ $90k-$196k
πŸ“Remote - United States, Canada

Job highlights

Summary

Join our team at Scribd as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empower collective expertise through our three products: Everand, Scribd, and Slideshare.

Requirements

  • 2-3 years of experience of developing and deploying machine learning models
  • Intermediate level or greater experience with SQL or Spark
  • Intermediate to advanced knowledge with 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
  • A keen interest in learning what’s necessary to solve a business problem and make a positive business impact
  • Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics, Economics)

Responsibilities

  • In your first year, you’ll be focusing on a variety of content classification use cases, leveraging everything from traditional NLP to sophisticated fine tuning of LLMs
  • Investigate methods of solving our most challenging problems at Scribd, at scale
  • Work with other Data Scientists and Machine Learning Engineers to operationalize data science projects
  • Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs
  • Process massive amounts of data with Python, SQL and Spark
  • Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups

Benefits

  • 100% paid for employees
  • 12 weeks paid parental leave
  • Short-term/long-term disability plans
  • 401k/RSP matching
  • Tuition Reimbursement
  • Learning & Development programs
  • Quarterly stipend for Wellness, Connectivity & Comfort
  • Mental Health support & resources
  • Free subscription to Scribd + gift memberships for friends & family
  • Referral Bonuses
  • Book Benefit
  • Sabbaticals
  • Company wide events
  • Team engagement budgets
  • Vacation & Personal Days
  • Paid Holidays (+ winter break)
  • Flexible Sick Time
  • Volunteer Day
  • Company-wide Diversity, Equity, & Inclusion programs
This job is filled or no longer available

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