Principal Data Scientist - Consulting Firm

- 12 to 15 yrs' of experience.

- An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.

- Experience with text mining, parsing, and classification using state-of-the-art techniques.

- Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.

- Ability to evaluate quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.

- Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.

- Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.