Remote Senior Data Scientist, Supply Chain Forecasting

usfoods; Illinois; Remote; USD 140,000 - 190,000; Full time

Job summary

US FOODS is seeking a Sr Data Scientist for Supply Chain to lead advanced analytics, including time series forecasting, optimization, and ML/DL techniques. You will work with cross-functional teams to translate business challenges into scalable models that improve demand accuracy and inventory efficiency.

The role emphasizes end-to-end model development, deployment readiness, and team mentorship while operating remotely across the United States (excluding Hawaii and territories).

Qualifications

• Master's degree in data science, mathematics, computer science, statistics, or a related field.
• Proven programming experience in data analytics and machine learning.
• Strong communication and collaboration with cross-functional teams.

Responsibilities

• Lead development of forecasting, optimization, and ML models for supply chain problems.
• Collaborate with stakeholders including product teams to translate business needs into ML solutions.
• Develop and productionalize forecasting and optimization models to improve demand accuracy and inventory management.
• Mentor junior data scientists and coordinate with ML team on deployment and retraining.
• Document model methodologies, data sources, and pipeline architectures.

Skills

Time series forecasting

Statistical analysis

Optimization

Machine learning

Deep learning

Data exploration

Communication

Python

SQL

Education

Master's degree in data science/math/CS/statistics or related field

Bachelor's degree in a related field

Tools

TensorFlow

PyTorch

Job description

US FOODS is seeking a Sr Data Scientist for Supply Chain to lead advanced analytics, including time series forecasting, optimization, and ML/DL techniques. You will work with cross-functional teams to translate business challenges into scalable models that improve demand accuracy and inventory efficiency.

The role emphasizes end-to-end model development, deployment readiness, and team mentorship while operating remotely across the United States (excluding Hawaii and territories).