Position: Lead / Senior Data Scientist
Category: Data Science
English level: fluent
Years of experience: 10


Senior / Lead Data Scientist with over 10 years of total commercial experience in data science, software development, and machine learning related projects.

Experienced in ML project life cycle:
data collection, preprocessing, feature engineering, training, data augmentation, validation and testing, post-deployment monitoring.

Data Analysis, Statistical Data Models, Machine Learning Models.
Excellent knowledge of traditional and State-of-the-Art Machine Learning algorithms, including Deep Learning and statistics.
Deep knowledge in statistical and visualization packages.
Experience in working with distributed systems.

Machine Learning
Linear Models, Tree-based models, SVM, Boosting, KNN, C-means,  Markov Chains, Bayesian Optimization, LGBM, XGBoost, CatBoost, Time Series and many more.

Deep Learning and Neural Networks
Pytorch, Tensorflow, Ray, Convolutions, LSTMs, Transformers, Word Embeddings, Residual Connections, Transfer Learning, Model Pretraining and Fine Tuning, Graph Neural Networks.

Natural Language Processing and Understanding
Regexp, Text preprocessing, Indexing, vectorization tf-idf, Embedding representations, Word2Vec, FastText, Glove, BERT, Transformers, Stanza, spaCy.

Programming and Machine Learning Libraries:
Python, Pandas, Numpy, SciPy, Scikit-Learn, Tensorflow, Keras, PyTorch, Stanza, spaCy, Flask, FastApi

Databases:
BigQuery, MSSQL, MySQL, PostgreSQL, MongoDB

Cloud Services, DevOps and Big Data
Docker, Docker Compose, Kubernetes. AWS, RDS, Route 53, EC2, S3, GCP, Cloud Run, Cloud Compute, Cloud Composer, Cloud Functions, Cloud Scheduler, Spark, Hadoop, HDFS, Hive, Zeppelin, Airflow, Redis and many more.