Senior Supply Chain Data Scientist @ Location: Sunnyvale, CA, 94089 (Onsite)

Job Title: Senior Supply Chain Data Scientist

Location: Sunnyvale, CA, 94089 (Onsite)

• The Senior Supply Chain Data Scientist is responsible for building and optimizing machine learning and statistical models that improve demand predictability, inventory decisions, and supply chain responsiveness.
• This position requires strong modeling and coding skills, and the ability to translate complex data into clear business insights that drive impact.
• Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use.
• Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights.
• Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations.
• Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision-making.

The essential requirements of the job include:

• Bachelor's degree in computer science, Computer Engineering, Data Science, Statistics or relevant technical field with 5+ years of related work experience OR Master's degree in field with 3+ years of related work experience OR Doctoral degree in field with 0-2 years of work experience.
• Strong hands-on proficiency in Python and SQL, with solid expertise in machine learning and deep learning.
• Experience with ETL and data engineering, statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation.
• Ability to communicate analytical results clearly to both technical and non-technical audiences, and to continuously improve solutions based on feedback.
• It would be a plus if you also possess previous experience in: Supply chain optimization inventory, transportation, sourcing, distribution, fulfillment, planning, etc.
• Writing high-performance code and deploying algorithms in a production environment. Building AI pipelines for operational use