Senior Data Scientist

• Developer role, ML Model implementation, experimentation & related software engineering focused
• Experience as a data scientist with preference in data analysis & forecasting algorithms
• Python, PySpark development experience a must
• 3-4 years of very good Python, PySpark development experience
• 1-2 years of software development experience - preferred
• 1-2 years of experience as a data scientist with preference in forecasting algorithms
• Basic understanding for MLOPS
• Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms
• Basic understanding for Azure Cloud Platforms (databricks, Azure ML studio, etc)
• No Phd s. BS or MS degree is Software Engineering, Computer Science or Statistics related
• Ability to learn fast and handle multiple priorities
• Developer role, ML Model implementation, experimentation & related software engineering focused
• Essential functions
• Experience on Demand forecasting Algorithms

Qualifications

• Good programming in Python
• Good understanding of ML concepts and algorithms in general. Especially, forecasting methods & math. No MLOps needed.
• Understanding of ensemble models: XGBoost, CatBoost and LGBM