This is a job opportunity for a Data Engineer to participate in creating something new and impressive for the enterprise space. We are creating a sophisticated automation that will allow to focus more on developing and less on routine operations. We have been working on it for 5 years and are now preparing to launch.

We are changing our developer culture, and we want you to help us with that!

Compensation and benefits:

  • Competitive hourly wage rate determined by your experience and reviewed once a year
  • Paid vacations and Ukrainian national holidays
  • Paid bonuses: birthday, New Year, parental bonus
  • Payment of salaries on a fortnightly basis without delays
  • No overtimes
  • Occasional pizza and online courses paid for by us

Please read the following requirements to check whether this vacancy fits your skills.

Tech requirements/experience:

  • Strong Python skills
  • Data science background
  • Extracting models from data: classification, regression, optimization, search, clustering, vector embedding, data biases, singular values etc.
  • Data filtering
  • Data statistics
  • Databases (Pandas)
  • Working with GPT

Working conditions:

  • Completely remote work from your home (you must have a calm and convenient workplace, decent hardware and good internet connection)
  • Full time (40-hour week, 8-hour day)
  • Online availability between 4pm to 8pm by Ukrainian time
  • Working in an international team with the manager located in USA
  • Speaking English to all teammates outside Ukraine
  • Readiness to long-term relationship

Other information:

  • This vacancy is only for residents and citizens of Ukraine, located in the western or central parts of Ukraine to minimize the risk
  • If you are looking for a junior/trainee position, then we cannot invite you for this opening (unfortunately)
  • We do not hire anyone from agencies or studios

If you are interested, please apply with our Contact Form, and we will be glad to discuss possible collaboration!

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“Remember how quickly our field [computer science] changes. That’s why you want to focus on learning things that don’t change: how to work well with other people, how to carefully assess a client’s real – as opposed to perceived – needs, and things like that.”

Randy Pausch