Data Scientist

Our Data team is growing! During the last year, the Data team has grown significantly and has been a key driver of our business with products like Minerva – and we still have a lot more to do!

We’re on the lookout for a Data Scientist who loves working with the latest technologies and has a passion for programming and maths! Could this be you?

About us:

At FACEIT we work to provide gamers worldwide with great competitive experiences for their favourite videogames. We develop unique products for players, partners and game developers centred around establishing and building competitive communities and ecosystems for multiplayer video games. Our online platform hosts over 30 million matches a month, and we are proud to work closely with multiple gaming publishers and developers to keep building the next generation of competitive experiences.


  • Help us expand our existing reporting and dashboard solutions.
  • Design and perform statistical analysis which will help us understand our userbase better and which will support our A/B Testing needs.
  • Run ad-hoc queries against our data warehouse.
  • Work closely with various technical and non-technical business areas and make sure that strategic decisions are backed by the available data.


  • Advanced SQL (common table extensions, window functions etc.) – any flavour will do;
  • Good knowledge of of the Python data analysis toolkit (jupyter notebooks, numpy, pandas, matplotlib, plotly etc.). Knowledge of R / SaS / Stata will also be considered;
  • Solid understanding of basic statistics fundamentals and applications (such as designing and interpreting A/B tests, cohort analysis, t-tests, z-tests, hypothesis etc.);
  • Any experience with BI tools like Mode Analytics/Tableau/Looker and web analytics platforms like Mixpanel and Keen Io;
  • Ability to quickly learn new concepts and apply them.
Bonus Skills
  • Hands-on experience with cloud platform solutions like Google Cloud Platform (Compute Engine, BigQuery, Cloud Storage), or AWS (EC2, Redshift, Athena, S3);
  • Git for version control;
  • Linux/Unix experience and use of command line tools;
  • Exposure to data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection), ideally in a production environment;
  • An interest in data engineering and in working with unstructured data;
  • Passionate about learning new, cutting-edge technologies and finding applicable business cases as needed;
  • B.Sc . in applied statistics, mathematics, physics, data science, or a related discipline.
  • A passion for gaming.


  • Lunch provided daily;
  • Kitchen stocked with refreshments, cereals, bread, spreads (coffee machines everywhere – our founding team is Italian after all!);
  • Pension plan
  • Flexible working environment
  • Monthly drinks and dinner in the office;
  • Monthly massages;
  • Quarterly team outings;
  • 5 a side twice monthly;
  • Your professional growth is important to us. We provide ongoing training opportunities;