Position: Data Scientist
Company: Nasc Technologies
Experience required: 2y
English level: upper

Excellent knowledge of Scientific Python stack: scipy, numpy, pandas (+geopandas), sklearn, matplotlib (+seaborn), jupyter, h2o AutoML, sqlalchemy, etc.
Excellent knowledge of Python
Knowledge of SQL
Math, Stats, Probability or Computer Science background
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with time series analysis techniques: ARIMA-based, Trend-Seasonality decomposition, etc.
Proficiency with ML algorithms: Regressions (linear and non-linear), Trees and Ensembles (Random Forest, Gradient Boosting, etc.), Clustering, PCA, Neural Networks: CNN, RNN (LSTM), Autoencoders 
Tensorflow + Keras
Good written and verbal English

Would be a plus:
Telco domain knowledge

Responsibilities
Collect, clean and analyze customer data
Search for business-relevant insights in the data and build predictive models based on them.
Develop new approaches and business cases
Explain ideas and knowledge gained from the data to various teams
Communicate with the customer and internal stakeholders
Serve as the technical expert of the development team, providing high-level guidance on all projects.
Direct and define projects based on the business requirements of various product managers.