Senior Data Scientist - Supply Chain Forecasting (Remote)

US Foods, Inc.; Des Plaines (IL); Remote; USD 100,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Pre-tax spending accounts

Retirement benefits

Paid time off

Short-term and long-term disability

Employee stock purchase plan

Life insurance

Annual incentive plan bonus

Job summary

US Foods, Inc. is seeking a Sr. Data Scientist in Des Plaines, IL (remote) to lead analytics for supply chain forecasting, demand planning, buying decisions, and inventory optimization. You will build, productionalize, and deploy forecasting and optimization models with cross-functional partners.

The role emphasizes end-to-end model delivery, data sourcing, feature engineering, and mentoring junior DS team members in a scalable, cloud-enabled environment.

Qualifications

• Master’s or higher in a quantitative field with 3+ years of experience or a BA/BS with 6+ years in data science.
• Strong communication skills for cross-functional collaboration.
• Expert-level understanding of ML algorithms, evaluation metrics, and deployment considerations.

Responsibilities

• Lead forecasting, optimization, and ML model development end-to-end.
• Mentor junior data scientists and guide stakeholder communication.
• Collaborate with product management to align DS efforts with business needs.

Skills

Forecasting

Modeling

Python

SQL

ML/DL

Cloud platforms

DevOps/MLOps

NLP

Containerization

Agile/Scrum

Education

Master’s degree in data science, mathematics, computer science, statistics, or related

Bachelor’s degree with 6+ years of experience in data science

Tools

Gurobi

Pyomo

PuLP

Job description

US Foods, Inc. is seeking a Sr. Data Scientist in Des Plaines, IL (remote) to lead analytics for supply chain forecasting, demand planning, buying decisions, and inventory optimization. You will build, productionalize, and deploy forecasting and optimization models with cross-functional partners.

The role emphasizes end-to-end model delivery, data sourcing, feature engineering, and mentoring junior DS team members in a scalable, cloud-enabled environment.