[Hiring] Lead Data Scientist @US Foods

Role Description

The Lead Data Scientist – Commercial will lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions that drive commercial growth, seller efficiency improvements, and customer engagement.

• Own the Commercial Advanced Analytics portfolio with accountability for analysis, development, and implementation of AI / ML solutions.
• Deliver measurable business outcomes across Sales, Marketing, and Digital channels.
• Responsibilities span the full lifecycle of initiatives, from problem framing and solution design through production deployment and adoption.

This position is remote, which means the work can be completed from anywhere except Hawaii or United States Territories.

Qualifications

• Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required.
• PhD in a quantitative field a plus.

Requirements

• Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures.
• Experience guiding teams in Python-based data science ecosystems and collaborative development practices.
• Strong command of machine learning, optimization methods, and statistical experimentation at scale.
• Business-oriented analytical thinker with a high bar for rigor, execution, and reliability.
• Clear, concise communicator able to influence senior leaders with data-driven insights.

Benefits

• 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 up to 25% of base salary

Work Environment

This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment.

Supervision

Team of five data scientists.

Relationships

• Internal: Analytics and Data Science teams; Executive Leadership Team; Sales, Marketing, Merchandising, Digital, and Technology leaders.
• External: Vendors including cloud infrastructure providers, analytics and AI solution partners, and other strategic partners.

Travel Requirement

• 10%

Preferred Qualifications

• Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B).
• Strong consultative, business-facing background with demonstrated success driving adoption of analytics products.
• Able to communicate clearly and influence stakeholders through storytelling and public speaking.
• Experience in complex, SKU-heavy or distribution-style businesses.