Pros
*Great startup environment with free food, coolest office playground, stock options, end of year bonuses, fast and open mindset;
* Good opportunities in training, attend international conferences, dedicate 5% of the time to personal projects, reading groups, time to discuss and explore deep learning approaches;
* One of the few companies that allow data scientists to do applied research and publish.
* Great opportunities for career development, promotions, frequent feedback, and personal development plan.
Kontras
* The company expanded very fast in the last year and continues to expand now. This has brought a certain lack of control over different areas. Communication has improved a lot, but there are sill some issues left.
* There is an ambition roadmap of activities, but few people to manage and communicate the work.
* Engineering culture is focused in .NET core. Python only exists in Data Science. The company needs to improve support to Python and Machine Learning services.
