Data Scientist

US Cold owns and operates one of the most complex temperature-controlled logistics networks in North America. Every day, our systems coordinate the storage and movement of food on a national scale across a network of state-of-the-art distribution centers, including multiple highly automated warehouse facilities.

We continue to advance our core warehouse and logistics platforms. Our current focus is on modular, event-driven, API-first and cloud architecture. We continue to enhance reliability and accelerate engineering productivity by strengthening our SRE and AI practices. This is a large investment in innovation to continue to drive operational excellence at our facilities.

If you want to build durable systems that operate in the physical world at scale, this is that opportunity.

We are hiring a Data Scientist to grow the capabilities of the organization to drive innovation, support data-driven decision making, and transform both business and operational practices.

You will solve problems using statistical methods, machine learning, and AI.

You will help the organization frame and answer analytical questions grounded in data.

You will participate in research and development projects.

This role is ideal for a hands-on, applied data scientist who enjoys working on complex systems, translating ambiguous business problems into analytical models, and seeing their work put into production.

Identification, framing, and delivery of high‑impact analytical and optimization problems across operations, logistics, and the business

Development, deployment, and lifecycle management of statistical, machine learning, forecasting, and optimization models used in operational decision‑making

Large-scale analysis of data from WMS, TMS, ERP, and operational systems to generate actionable insights

Production-grade analytical solutions built in Python and SQL, from prototype through operationalization partnering with business

Model validation, performance monitoring, and continuous iteration based on real-world outcomes

Communication of insights, tradeoffs, and recommendations to both technical and non-technical stakeholders

Applied data science use cases including network and route optimization, warehouse optimization, demand and capacity forecasting, anomaly detection, and customer/product segmentation

Multi-facility, high-availability Warehouse management and logistics systems

Migration toward cloud-native, event-driven architectures

Azure cloud-native services

CI/CD-driven delivery model

Snowflake for real-time data warehousing

High-availability and disaster-recovery–first design

AI mindset with application of optimization and predictive models for warehouse optimization, routing, consolidation, and capacity planning

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

2-4 years of experience in applied data science, machine learning, or advanced analytics roles

Strong programming skills in Python; experience using SQL to work with large datasets

Experience building, validating, and deploying analytical or machine learning models in production environments

Solid foundation in statistics, optimization, or forecasting techniques

Strong problem-solving skills and comfort working with ambiguous, real-world data

Curiosity and willingness to learn the operational realities of cold storage and 3PL logistics

Excellent communication skills, with the ability to explain technical concepts to non-technical audiences

Experience with Microsoft Azure, including data or ML-related services

Experience containerizing or deploying solutions using Docker

Familiarity with optimization techniques, simulation, or decision-support models

Experience working with time-series forecasting or network optimization problems

Exposure to reinforcement learning or advanced optimization methods in applied settings

Experience working in supply chain, logistics, manufacturing, or operations-heavy environments

This role is primarily technical and office-based, with occasional interaction in operational environments depending on project and system needs.

May require physical effort associated with using the computer to access information, or occasional standing, walking, lifting needed to carry out everyday activities. Effective communication, vision, and hearing are essential for safety and productivity. Operate scanners, tablets, radios, phones, computers, and other essential equipment as required. Additional work hours may be requested by management to help manage employee production, projects, and/or special events. Engage in frequent personal interaction and communication. Attend in-person meetings and/or training on a regular basis. Follow verbal instructions, written instructions, and company policies. Work independently and coordinate with others. Fast-paced environment, managing stress, and meeting productivity standards.

Job functions may vary based on the area of operation. This description outlines the most common tasks required for the job. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential duties. This job description may not encompass all tasks necessary to complete the role.