Senior Supply Chain Data Scientist: AI Forecasting & MLOps

The Fountain Group; Sunnyvale (CA); Hybrid; USD 77,000 - 110,000; Full time

Job summary

The Fountain Group seeks a Senior Supply Chain Data Scientist in Sunnyvale, CA, for a hybrid role. You will develop ML models to boost demand forecasting, inventory optimization, and overall supply chain performance.

Build scalable ETL pipelines and ML deployments, and create AI agent pipelines and MLOps workflows for production use. Applicants should have a strong background in Python and SQL, plus ML/DL, statistical modeling, and time-series techniques.

Qualifications

• Bachelor's degree with 5+ years in STEM or advanced degree with relevant experience.
• Proficient in Python and SQL; strong ML/DL fundamentals.
• Experience with time-series forecasting, ETL, and data engineering.

Responsibilities

• Develop and optimize ML/DL models to improve demand forecasting and inventory optimization.
• Build scalable ETL pipelines and data engineering workflows.
• Deploy AI/ML solutions for operational use in supply chain.
• Develop automated AI agent pipelines and MLOps workflows for training, deployment, monitoring.

Skills

Python

SQL

ML/DL

Time-series

ETL

MLOps

AI pipelines

Education

Bachelor's in STEM/CS fields

Master's in relevant field

PhD in relevant field

Job description

The Fountain Group seeks a Senior Supply Chain Data Scientist in Sunnyvale, CA, for a hybrid role. You will develop ML models to boost demand forecasting, inventory optimization, and overall supply chain performance.

Build scalable ETL pipelines and ML deployments, and create AI agent pipelines and MLOps workflows for production use. Applicants should have a strong background in Python and SQL, plus ML/DL, statistical modeling, and time-series techniques.