Description

You will drive data-driven automated decision-making by developing scalable solutions for problems like pricing and product allocation.

Responsibilities

• Develop new algorithms and improve existing approaches using statistical, econometric, and machine learning methods to forecast demand and optimize supply chain investment.
• Design, write, own, and maintain production-grade analytics code supporting forecasting and optimization models.
• Review and ensure code quality for peers.
• Assess business constraints to recommend trade-offs between solution speed and accuracy.
• Contribute to building, scoring, deploying, monitoring, and promoting the central forecasting platform.

Required Skills

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

Key Skills

Education

Any Graduate