Position: Lead (Principal) Data Scientist
Company: Intellias
Experience required: 5y
English level: upper

**Responsibilities:**
If you have a passion for data and technology and want to join a crew of sharp analytical minds, then this may be the right opportunity for you. As a Principal data scientist, you will get a chance to take part lead the development of features of our AI product and perform the following tasks:

Project lead of multiple initiatives (laboratories and product features);
Define data science modelling strategy and advise/revise the coding approach;
The lead of multidisciplinary teams of data scientists and developers;
Define team priorities;
Lead stand-up meetings of your team and planning sessions;
Manage team capacity and agree with project scopes;
Ultimate responsible and QA of features and deliverables;
Resolve conflicts across the functions of the team (DevOps/AI/DB/FE/BE…);
Interact with clients and understand their challenges, their data, and their needs.

**Requirements:**
5+ years of experience in data science/machine learning;
5+ years of experience with data programming/scripting languages (Python, R, SQL). Knowledge of common data structures and algorithms;
Strong knowledge in classical machine learning algorithms (regressions, trees, Bayesian models, Markov chains);
Experience in using ML frameworks and libraries: scikit-learn, pandas, NumPy, matplotlib;
Experience leading projects and teams;
Experience in project planning;
Experience in communicating technically, at a level appropriate for the audience.
Nice to have:
Master's or PhD degree in a relevant domain (math statistics, math modelling, data science, machine learning, computer science, etc.);
AWS Cloud experience;
Hands-on experience in NLP;
Good knowledge in deep learning, modern neural network approaches;
Knowledge of deep learning frameworks and libraries: Tensorflow, Pytorch, word2vec