
10,000+ employees
📦 Logistics
🍽️ Food & Beverage
🛍️ eCommerce
Logistics • Food & Beverage • eCommerce
US Foods is one of the largest food service distributors in the United States, offering a wide range of products, culinary equipment, and support services for food businesses. They focus on product innovation, sustainability, and customer partnership, providing tools and resources to help clients enhance their operations and meet diverse dietary preferences. With a commitment to quality, safety, and community engagement, US Foods aims to positively impact both customers and the environment.
🕒 September 8
🌽 Illinois – Remote
💵 $100k - $155k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
👻 Ghost score 23%
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10,000+ employees
📦 Logistics
🍽️ Food & Beverage
🛍️ eCommerce
Logistics • Food & Beverage • eCommerce
US Foods is one of the largest food service distributors in the United States, offering a wide range of products, culinary equipment, and support services for food businesses. They focus on product innovation, sustainability, and customer partnership, providing tools and resources to help clients enhance their operations and meet diverse dietary preferences. With a commitment to quality, safety, and community engagement, US Foods aims to positively impact both customers and the environment.
• Research data sources, cleanse data, perform feature engineering, and create baseline models • Independently manage multiple data science model development projects • Collaborate with cross-functional stakeholders and product management • Own model development from inception through implementation, including ML pipelines, documentation, model drift, and remodeling strategy • Mentor Associate Data Scientists and Data Scientists • Coordinate with the ML team on deployment issues, resource requirements, model deployment, and retraining • Take or delegate ownership of critical business stakeholder tickets and issues • Navigate extensive codebases for troubleshooting, debugging, and code improvement • Contribute to coding standards and enforce sound coding practices • Create and maintain documentation for ML models, data sources, and methodology • Assist in creating feasibility documents • Participate in R&D and implement process improvements or new methodologies • Present knowledge at internal team sessions and workshops • Guide Scrum, Kanban, and other development methodologies in group projects • May supervise Associate Data Scientists and Data Scientists
• Master’s degree in data science, mathematics, computer science, statistics, or similar field and 3+ years of experience, OR bachelor’s degree and 6+ years of experience in data science • Effective written, verbal, and interpersonal communication skills • Expert-level understanding of classification, regression, clustering, dimensionality reduction, association rule learning, bagging, boosting, neural networks, deep learning, model evaluation and metrics, cross-validation, hyperparameter tuning, optimization algorithms, NLP, and more • Working knowledge of Agile/SCRUM methodologies with 1–2 years of experience • Intellectual curiosity to investigate latest developments such as LLM/Generative AI models • Ability to anticipate deployment limitations, data latency, algorithm appropriateness, and mathematical assumptions • At least 1+ years working with a major cloud platform and creating ML models from data exploration through deployment • Working knowledge of handling large datasets in a cloud environment • Working knowledge of APIs and CI/CD • Understanding of DevOps and MLOps principles • 1+ years writing production-grade code in Bash, Python, and SQL • Ability to identify code improvements, optimize data structures and code, and create custom code • Proven independent ability to navigate a data lake environment while creating training datasets or feature stores • Skills creating, deploying, and troubleshooting containers for ML modeling • 1+ years of experience with version control systems such as Git • Ability to research ML frameworks, algorithms, datasets, and feature stores • Capability to provide macro-level thought leadership to junior data science staff
• Annual incentive plan bonus may apply • Health insurance • Pre-tax spending accounts • Retirement benefits • Paid time off • Short-term disability • Long-term disability • Employee stock purchase plan • Life insurance
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