Senior Supply Chain Data Scientist

ProKatchers LLC; Sunnyvale (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

ProKatchers LLC in Sunnyvale, CA, is seeking a Senior Supply Chain Data Scientist to lead advanced ML initiatives for forecasting and optimization. You will build predictive models and deploy them across the supply chain to improve efficiency.

The role emphasizes time-series forecasting, ETL pipeline development, and MLOps automation, using Python and SQL to generate actionable insights and scalable solutions that guide business decisions.

Qualifications

• Bachelor's degree in a related field required.
• Master's degree preferred for advanced modeling.
• PhD advantageous for research-heavy work.

Responsibilities

• Develop and optimize ML models, time-series forecasting, and demand prediction to improve supply chain efficiency.
• Build scalable ETL pipelines, automate model deployment, and implement MLOps practices for reliable forecasting solutions.
• Utilize Python, SQL, deep learning, feature engineering, and hyperparameter optimization to generate actionable insights.
• Develop AI agent pipelines to automate supply chain workflows and enhance business decision-making.
• Collaborate with cross-functional teams to translate complex analytical results into business recommendations.

Skills

Machine Learning

Statistical Modeling

Data Engineering

Python

SQL

Forecasting

MLOps

ETL Pipelines

Model Deployment

Deep Learning

Education

Bachelor's degree in related field

Master's degree

PhD (relevant field)

Tools

Python

SQL

MLflow

Airflow

TensorFlow/PyTorch

Job description

Job Title: Senior Supply Chain Data Scientist

Location: Sunnyvale, CA 94089

Duration: 12 Months

Job Description:

• We are looking for a Senior Supply Chain Data Scientist with strong expertise in machine learning, statistical modeling, and data engineering.
• Develop and optimize ML models, time-series forecasting, and demand prediction to improve supply chain efficiency.
• Build scalable ETL pipelines, automate model deployment, and implement MLOps practices for reliable forecasting solutions.
• Utilize Python, SQL, deep learning, feature engineering, and hyperparameter optimization to generate actionable insights.
• Develop AI agent pipelines to automate supply chain workflows and enhance business decision-making.
• Collaborate with cross-functional teams to translate complex analytical results into business recommendations.
• Requirements: Bachelor's degree with 5+ years, Master's with 3+ years, or PhD with 0–2 years of relevant experience; supply chain optimization and production ML deployment experience are preferred.