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Senior. Supply Chain Data Scientist; Cepheid

Listing for: Virtual Company
Full Time position Listed on 2026-11-09
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 67.87 USD Hourly USD 67.87 HOUR

Job Description & How to Apply Below

Position: Senior. Supply Chain Data Scientist (Cepheid Only)
Job Details

Type:
Hybrid

Location:

Sunnyvale, CA

Pay Rate: $67.87/hr W2

Duration:
12 months

Target

Start Date:

11/30/2026

Linked In

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.

Position Requirements

10+ Years work experience
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