Lead Data Scientist

📋 Description Run CRISP-DM projects with a team of 3 data scientists. Build and optimize classifiers and propensity/recommendation models. Data mining and automate scoring; improve features for recommendations. Incorporate third-party data sources when needed. Improve data collection for analytics. Process, cleanse data; perform deep EDA; create training data. 🎯 Requirements Hands-on ML: k-NN, Naive Bayes, XGBoost, Random Forests; TensorFlow for NLP. Python, scikit-learn, NumPy, Pandas, Plotly, Elasticsearch. SQL; NoSQL incl. Elasticsearch and Neo4j. Applied statistics: distributions, testing, regression; strong EDA. Data-driven mindset with business domain understanding. Interest in tech domains like data center analytics and cloud adoption. 5+ years experience. 🎁 Benefits Flexible working hours Entire work from home Birthday leave Remote work