Sr. Data Scientist
Core
End-to-end development of analytical products, from business requirements to production deployment, focusing on high-performance data processing and machine learning model training.
Role type
Senior Machine Learning Engineer (Data Scientist)
Builds
Production ML models, data processing pipelines, and analytical products for business applications.
Domain
Beer industry / Machine Learning
Deliverable
production ML models | product features
Required skills
Python (advanced, OOP, design patterns), SQL (optimized queries), Pandas/Polars, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Git, shell scripting, statistical analysis, experimental design
Preferred skills
PySpark, distributed ML frameworks (Spark MLlib, Horovod), Azure Databricks (Unity Catalog, Feature Store, ML Flow, Delta Lake)
Responsibilities
Develop end-to-end analytical products, write high-performance data processing code, train ML models for classification/clustering/recommendation/forecasting, integrate models into company infrastructure, conduct code reviews, mentor junior team members
Seniority
Senior, hands-on IC