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