Senior. Supply Chain Data Scientist (Cepheid Only)

Virtual Company; 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

Job Details

Type: Hybrid

Location: Sunnyvale, CA

Pay Rate: $67.87/hr W2

Duration: 12 months

Target Start Date: 11/30/2026

LinkedIn ID required

W2 candidates Only

Job Description

Seeking a Senior Supply Chain Data Scientist to develop and optimize machine learning and statistical models that improve demand forecasting, inventory optimization, and supply chain operations. The role involves building scalable ETL pipelines, implementing time-series forecasting models, and deploying AI/ML solutions for operational use. Develop automated AI agent pipelines and MLOps workflows for model training, deployment, and monitoring to deliver actionable supply chain insights.

Education

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Statistics, or related STEM field with 5+ years of experience.
• OR Master’s degree in a relevant field with 3+ years of experience.
• OR PhD in a relevant field with 0–2 years of experience.

Required Skills

• Strong hands‑on proficiency in Python and SQL.
• Machine Learning (ML) and Deep Learning (DL).
• Statistical Modeling and Time-Series Forecasting.
• Feature Engineering and Hyperparameter Optimization.
• Model Validation and Performance Optimization.
• ETL Development and Data Engineering.
• MLOps: Automated Model Training, Deployment, and Monitoring.
• AI/ML Pipeline Development.

Preferred Skills

• Supply Chain Optimization: Inventory Management, Demand Planning, Transportation, Sourcing, Distribution, Fulfillment, and Supply Chain Planning.
• Experience developing and deploying high-performance algorithms in production environments.
• Building AI Agent Pipelines and AI-driven automation for operational workflows.
• Experience applying predictive analytics and machine learning to supply chain processes.