Data Scientist

About Us
Remoby is an international AdTech Platform in the world of Rewarded Video, headquartered in Cyprus, and created by advertising market professionals.

We’re currently actively developing Demand Side Platform (DSP) - A contextual non-IDFA DSP that helps iOS-developers win the competitive race in the privacy-first world.
In the future, we plan to develop our own AdExchange and AdNetwork.
We develop efficient Machine Learning algorithms for effective Ad buying.

We focus on the non-IDFA market of mobile app users in the Rewarded Video format. Rewarded video is a format of advertising where a video is shown in an app for a user to watch, after which they get some bonuses (points, tips, etc.). Non-IDFA - these are users who don’t allow the use of a unique end-to-end identifier. The current trend of regulating access to information and the steps that companies like Apple and Google are taking to comply with these trends ensure that this market is booming.

On the one hand, we’re a startup that can adapt quickly and efficiently. On the other hand, we’ve already accumulated vast experience in advertising technology, which allows us to understand the vector of development and choose the right technological and product solutions.

We’re constantly looking for like-minded people to join our team who would like to build a unicorn with us and leave their mark on the international, $10B+ advertising market.

If you dream of being a part of a strong team, constantly developing, and working with the leaders of the App Store and Google Play - join our team. A lot of interesting, non-trivial, and creative work is guaranteed!

Data Scientist at Remoby (Remote work)

We’re looking for someone who:
  • Has experience in AdTech
  • Has excellent knows of Python and knows how to write effective SQL queries;
  • Has knowledge of basic mathematics, probability theory, and applied statistics;
  • Has knowledge of how standard Machine Learning algorithms work and has experience in their practical implementation and production support;
  • Is able to explain their ideas to people who may not have knowledge of mathematics and machine learning, as well as independently convert a business problem into an algorithmic one;
  • Is able to propose metrics for optimization and different methods for solving the problem;
  • Likes to work in a team and takes the initiative when necessary.

You will work on:

  • Developing new machine learning models to improve traffic acquisition;
  • Maintaining, tuning, and developing existing models;
  • Conducting experiments on adding new factors to models, as well as measuring quality gains;
  • Analyzing advertising statistics, searching for insights, and evaluating the results of the models;
  • Customizing the parameters of advertising campaigns to link them to ML models;
  • Interacting on tasks with the team: Developer, Data Engineer, DevOps, BI.

Our Tech Stack is:
Python, Gitlab, Vertica, PostgreSQL, Airflow, Docker, Grafana, InfluxDB

To apply please submit your resume and cover letter to