Data Scientist, Supply Chain
Integrated Resources, Inc ( IRI )
Sunnyvale, CA0–2 yrs20m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Machine learningStatisticsBudgetingETLData visualizationStakeholder management
- Nice to have
- OperationsData structures & algorithms
- Work
- On-site in Sunnyvale
- Pay
- Not stated by the employer.
- Skill demand
- Statistics72%Machine learning64%ETL36%Budgeting15%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
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About the Role
- Job Title: Data Scientist - Supply Chain
- Location: Sunnyvale, CA 94089 (Onsite)
- Duration: 12+ Months (Possibility of extension)
Position Summary
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.
Key Responsibilities
- 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.
Requirements & Tech Stack
- Strong hands-on proficiency in Python and SQL.
- Solid expertise in machine learning and deep learning.
- Experience with ETL and data engineering.
- Experience with statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation.
- Ability to communicate analytical results clearly to both technical and non-technical audiences.
- Ability to continuously improve solutions based on feedback.
Qualifications
- 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 a relevant field with 3+ years of related work experience.
- OR Doctoral degree in a relevant field with 0-2 years of work experience.
Preferred Qualifications
- Previous experience in supply chain optimization (inventory, transportation, sourcing, distribution, fulfillment, planning, etc.).
- Experience writing high-performance code and deploying algorithms in a production environment.
- Experience building AI pipelines for operational use.