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 (

  • Contribution into open-source software (

  • 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

  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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