Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 9

6+ years as a lead data scientist in the company providing analytical solutions for fintech and companies all over the world. Built a lot of models, communicated with developers, business customers and all stakeholders.
R,  Python,  SQL,  MatLab,  C/C++, Spark,  Machine Learning.

data preparation (intensive work with databases, XML, RegExp), 
preprocessing incomplete and incorrect data, 
Big Data processing (using Spark), work with AWS services,
supervised models building - linear and logistic regression, XGBoost, SVM, random forest etc., ensembles of models, 
unsupervised models building - clustering techniques etc.,
text retrieval and natural language processing basics,
image recognition basics,
ranking problem,
features generation and dimensionality reduction, 
exploratory data analysis and statistics (confidence intervals, hypothesis testing, variables significance),
building credit risk and fraud detection models, 
performance analysis (AUC, confusion matrix, generalization issues etc.)
Building models based on machine learning techniques, interesting tasks, not just statistical analysis. Willing to learn something new.