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Data Scientist (Product Startup, Equity)

Published on Jul 15, 2021

A Product company with office in Lviv, Ukraine.

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1-3 years
Job Type:
Data Engineering
Data Science & AI

What You Should Bring
  • 2+ years of experience with a proven record in the ML and data analytics
  • Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems.
  • Understanding theoretical concepts of Recommendation Systems, NLP (language modeling, text classification, sequence classification, question answering, clustering, topic modeling).
  • Experience deploying and maintaining ML solutions in production.
  • Hands-on experience in conceptual modeling, statistical analysis, predictive modeling, and hypothesis testing.
  • B.S. in Computer Science, Mathematics, Electrical Engineering, Statistics, or equivalent fields.
  • Strong English verbal and written communication.
  • PhD. in Computer Science, Mathematics or Statistics with specialization in machine learning/deep learning
  • Experience with Amazon ML Services, including custom modeling on SageMaker.
  • Experience in graph data modeling

What You Will Get Benefits

Building a product that’s used by hundreds of top-tier companies

  • Competitive salary & equity options

  • Comfortable & modern office in the Lviv city center or remote

  • Medical insurance

  • Modern technical stack (stackshare.io/shelf/shelf)

  • Contribution into open-source software (github.com/shelfio)

  • Paid vacation leaves and sick leaves, official Ukrainian holidays are non-working days

  • Work laptop MacBook Pro or equivalent

  • Challenging tasks from day 1, rapid self-development and learning

  • Young, smart, friendly Team

This is an opportunity to break through the noise and struggle of everyday work and become a thought leader who impacts the world and the future of work itself.
If you are looking for the adventure of a lifetime and are interested in this opportunity, please send the following information to join@shelf.io:

  1. Resume and link to your LinkedIn profile
  2. Some good references or links to previous projects you’ve worked on, including Github/GitLab (would be a plus)

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