Description
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 20 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.
Responsibilities
- Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production
- Use data modelling and evaluation strategy to find patterns and predict unseen instances
- Apply machine learning algorithms and libraries
- Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created
- Collaborate with data engineers to build data and model pipelines, and to manage the infrastructure and data pipelines needed to bring code to production
- Communicate and explain complex processes to people who are not programming experts
- Liaise with stakeholders to analyse business problems, clarify requirements and define the scope of the resolution needed
- Analyse large, complex datasets to extract insights and decide on the appropriate technique
- Research and implement best practices to improve the existing machine learning infrastructure
- Provide support to engineers and product managers in implementing machine learning in the product
- Provide reporting and dashboard support to different teams in the organisation.
Requirements
What we would like to see from you:
- Advanced SQL (common table extensions, window functions etc.) - any flavour will do;
- Excellent working knowledge of Python data analysis toolkit (jupyter notebooks, numpy, pandas, matplotlib, plotly etc.);
- 2 years + of working experience with data science techniques (supervised and unsupervised machine learning algorithms, time series analysis, outlier detection, NLP, etc) in a production environment;
- Solid understanding of basic statistics fundamentals and applications (such as designing and interpreting A/B tests, cohort analysis, t-tests, z-tests, hypothesis etc.);
- Git for version control;
- Linux/Unix experience and use of command line tools;
- Ability to quickly learn new concepts and apply them.
- Hands-on experience with cloud platform solutions like Google Cloud Platform (Compute Engine, BigQuery, Cloud Storage), or AWS (EC2, Redshift, Athena, S3);
- Any experience with BI tools like Tableau/Looker and web analytics platforms like Mixpanel and Google Analytics;
- 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
Benefits
- 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;
- Your professional growth is important to us. We provide ongoing training opportunities
- Private medical insurance
