Position: Data scientist for an Esports training platform
Company: NOVOS
Experience required: 5y
English level: upper

Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

NOVOS is reinventing the way gamers train, making it possible for anyone to perform better than ever before. With our top-grossing Fortnite app and the goal to expand into other games, NOVOS is on a fast track to build a global consumer subscription company, becoming the esports education center for every gamer worldwide and across different games. With thousands of monthly downloads around the world, we are proud to be helping everyone achieve their gaming dreams.

Responsibilities:

- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending the company’s data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications:

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Experience with common data science toolkits, such as TPOT, R, Weka, NumPy, MatLab, etc
- Great communication skills
- Experience with data visualization tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills 
- Data-oriented personality