uData School - an educational project, where talented mathematicians are studying for free and getting one of the data science professions. The range of tasks that are solved by uData School teams include, but is not limited to the following:

organizing data in the database;
creating the IT infrastructure to work with this data;
removing the outliers, outdated records, missing data, incorrect or
unused information;
normalizing and structuring database;
running statistical tests on your data and simple regressions;
finding relationships in your data and mine the data for patterns;
creating visualizations, histograms, analytic reports of your
business;
creating supervised learning models: neural networks, SVMs, logistic
regression models (and many others);
creating unsupervised models: clustering, collaboration filtering,
etc for your data.

What You Will Do Responsibilities

We are looking for an engineer who will implement advanced analytical methods (ML, statistical/mathematical modelling) to solve the business tasks, communicate with the team on high level project planning.

What You Should Bring

Must-have

4+ years of experience as ML Engineer with data driven projects. Deep understanding and practical experience with Big Data Stack (Apache or Amazon).
Deep knowledge of statistics, probability theory and ML.
Practical experience with Python (NumPy, Pandas, Matplotlib, Networkx package, Scikit-Learn).
Practical experience with DL modelling using relevant frameworks (TensorFlow,PyTorch, Keras).

What You Will Get Benefits