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.”