Develop new models for different recommender systems within our product (classification, clusterization, etc.);
Research, patterns identification, and formulating insights;
Clean data from noise, find patterns for irrelevant, robot generated events;
Identify proper evaluation metrics, make an offline and online evaluation and testing for new models;
Upgrade and support current models;
Enrich data with new features using first and third-party data;
Developing applications or notebooks for maintaining models (training, usage);
Identify new opportunities to leverage data science to different parts of the MGID product.

Чем Вы должны обладать

Обязательно

3+ years of experience, deep skills in Machine Learning\Data Science;
Hands-on experience with machine learning concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
Have professional experience with Python(Scikit-learn, Pandas);
Experience with Keras/TensorFlow
Knowledge of Spark (Spark ML/PySpark);
Understanding of true model validation, p-value, and equivalent;
Good data manipulation skills are required including cleaning and managing data;

Желательно

The ideal candidate holds an MSc or Ph.D. in Engineering, Statistics, Mathematics, or related fields.
Knowledge of R;
-Understanding of online advertising, RTB systems, know the difference between DSP, SSP, and DMP;
-Hands-on experience with NoSQL databases.

Что Вы получаете Предлагаем

— Friendly team, opportunities to share your knowledge and experience;
— The newest office in the business center “Marmalade”;
— English courses with a native speaker;
— Flexible approach to the schedule;
— Corporate participation in sports, eco-and social projects.
— Health insurance package.

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