Senior Data Scientist

Introduction:

This position involves translating plant health into measurable metrics, building models to detect emerging risks and opportunities, and defining viable recommendations. The Senior Data Scientist will also conduct exploratory analytics on messy operational data, perform feature engineering, utilize time series and forecasting methods, implement anomaly detection, and develop recommendation engines. Additionally, this role will involve model validation and back testing.

Responsibilities:

• Translate plant health into measurable metrics
• Build models to detect emerging risks and opportunities
• Define viable recommendations
• Conduct exploratory analytics on operational data
• Perform feature engineering
• Utilize time series and forecasting methods
• Implement anomaly detection
• Develop recommendation engines
• Validate models
• Conduct back testing

Requirements:

Required Skills:

• Python (pandas, scikit-learn, prophet, other forecasting libraries)
• SQL
• Snowflake
• Azure
• Machine learning
• Github

Preferred Skills:

• Pytorch
• Three to five years of experience in a related field