Description

Develop scalable forecasting and optimization models to drive automated decision-making for pricing and supply chain.

This role is on-site.

Responsibilities

• Design, write, and maintain production-grade analytics code for forecasting and optimization models.
• Develop new algorithms and improve existing approaches using statistical, econometric, and machine learning methods.
• Build, score, deploy, monitor, and promote the central forecasting platform.
• Review peer code to ensure quality and assess business constraints to recommend trade-offs between speed and accuracy.

Required Skills

• 7+ years of related industry experience in data science or analytics.
• Advanced proficiency in Python, Pandas, and SQL for developing and maintaining analytics software.
• Experience building, training, scoring, tuning, and maintaining predictive models in production at enterprise scale.
• Working knowledge of forecasting techniques, including trend analysis, econometric models, and ML algorithms.
• Familiarity with data acquisition, preprocessing, modeling, and monitoring across the data science lifecycle.
• Experience with common data science/analytics software tools including Jupyter Notebook, Spark, and Git.
• Familiarity with cloud computing platforms, such as Amazon Web Services.

Preferred Skills

• Demonstrated expertise with production-level programming principles.
• Experience optimizing supply chain investment.

Key Skills

Education

Any Graduate