Sr. Data Scientist - Supply Chain

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

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE

Join Our Community of Food People!

The Sr Data Scientist - Supply Chain role will lead forward-looking analytics initiatives across time series forecasting, supply chain demand, buying, and inventory optimization, including data exploration, decision modeling, statistics, measurement sciences, and machine learning operations. The main responsibilities include, but are not limited to, developing and productionalizing customized forecasting and optimization models that improve demand accuracy, inform buying decisions, and right-size inventory, while enhancing supply chain replenishment by balancing a breadth of constraints, variables, and cost considerations. This role requires a deep analytical, technical, and complex problem-solving skill set with expertise in time series forecasting, mathematical optimization, statistical analysis, and advanced machine learning and deep learning techniques.

The Sr Data Scientist proactively works with cross-functional teams to understand the business context of supply chain problems that may be solved using ML and optimization, and presents data science solutions to stakeholders in an iterative fashion. They work with Associate Data Scientists, Data Scientists, and Decision Scientists to translate business challenges into well-structured forecasting, optimization, or ML problems, kickstarting foundational work including data exploration, feature engineering, hypothesis testing, and baseline modeling. They play a key role in selecting and implementing the appropriate analytical approach and create the model feasibility document in close collaboration with the team. The Sr Data Scientist may have direct reports including Associate Data Scientists and Data Scientists.

The work for the Sr Data Scientist position is completely remote anywhere in the United States except Hawaii or United States Territories.

RESPONSIBILITIES

• Work with Associate Data Scientists and Data Scientists in researching data sources, data cleansing, feature engineering, and creating baseline models
• Independently lead the formulation and development of forecasting, optimization, and ML models while managing multiple model development projects
• Design, implement, and refine advanced ML and deep learning models for both time series forecasting and optimization to solve large-scale, real-world supply chain demand, buying, inventory, and replenishment problems
• Collaborate and engage with various cross-functional stakeholders to ensure close coordination between data science and business stakeholders including the product management team
• Provide full ownership of the model development from inception to implementation including the machine learning pipeline, documentation, model drift, and remodeling strategy
• Mentor the Associate Data Scientists and Data Scientists in data science knowledge and their interactions with other stakeholders
• Coordinate with the ML team, anticipating deployment issues upfront, setting the stage for resource requirements, and ensuring the success of model deployment and retraining
• Take and delegate ownership of critical tickets or issues faced by business stakeholders as assigned by the Lead Data Scientist or Director of Data Science
• Read and independently navigate through extensive codebase with a focus on troubleshooting, debugging, and/or improvement of code
• Contribute to coding standards and coding conventions and proactively participate in enforcing sound coding practices across the data science team
• Create and maintain documentation of the ML models, data sources, and methodology
• Assist in the creation of feasibility documents
• Proactively participate in the core team processes including R&D, recommending, and implementing process improvements or new methodologies
• Share knowledge with other various teams and members by presentation at periodic internal team sessions/workshops
• Guide usage of development methodologies (Scrum, Kanban, etc.) and assist in their implementation in the group projects by deciphering details including features, tasks, estimates of efforts and timing, etc.

RELATIONSHIPS

Internal: Associate Data Scientists, Data Scientists, Lead Data Scientists, Principal Data Scientists, and Director of DS.

MINIMUM QUALIFICATIONS

As a Sr. Data Scientist, you have: Master's degree in data science/mathematics/CS/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, with the ability to work and communicate effectively with team members and cross-functional teams An expert-level understanding of the following topics: Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, Gradient Boosting), Neural Ne