Getting analytics for one YouTube channel is easy. Getting it for the entire online video ecosystem is not. Tubular monitors more than 4B online videos, 11M creators and their audience across top platforms including YouTube, Facebook, Instagram and others.
Hundreds of terabytes of collected data, advanced tooling and data science on top of it let brands, media companies and publishers across the world get a comprehensive picture of what happened today, a week or years ago.
We are looking for scientist engineers with product-oriented mindset who are both curious about the data and consistently learn the business domain to produce fruitful and scientifically proven results.
You will join a small team of senior engineers in Kyiv to work on key business challenges. We will help you learning the business, challenges, technology so you feel comfortable when starting on your first project.
Being metric-driven we communicate wins and problems through the facts so you should be ready to track, know, and communicate a story with numbers and graphs. It’s everyone’s responsibilities to proactively get all the input needed, plan work, deliver and share results.
We love getting things done, winning, having fun and being boring engineers. Apart from various local events we visit the head office twice a year which is located in Mountain View (California).
- You can produce well structured and well written and validated code in Python/Spark or have solid experience in other languages and ready to add Python/Scala to your list of skills.
- You are able to easily explain solutions to less experienced engineers and comfortable guiding them through the key points of the problem and the solution.
- You have at least 3 years of experience as Data Scientist or similar role. We expect you to describe a significant business problem you had and your or your team’s solution to it.
- You have a degree in Computer Science, Statistics or similar field including certificates from publicly recognized online courses.