About this opportunity
United States Cold Storage Inc lists this Data Scientist opportunity in camden, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Pay or shift range: $105,000 USD to $130,000 USD
The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job‑related reasons.
Description
Build the intelligence that optimizes the movement of food at national scale
Who We Are:
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.
The Role:
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.
What You’ll Own:
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
Technical Environment:
Multi‑facility, high‑availability Warehouse management and logistics systems
Migration toward cloud‑native, event‑driven architectures
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
What We Are Looking For:
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
Preferred Experience:
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
Compensation & Structure:
Location and Department: Greater Philadelphia (Hybrid), Information Technology
Reports to: Senior Data Scientist
Travel: Less than 15%
Full‑time, Exempt
Salary Range: $105,000.00 - $130,000.00/yr.
Operational Context:
This role is primarily technical and office‑based, with occasional interaction in operational environments depending on project and system needs.
Benefits Include:
If annual hours are attained, these benefits may apply.
Medical
Dental
Vision
Prescription
Legal Insurance
Pet Discount
Critical Illness
Accident Insurance
Hospital Indemnity
Long Term Care + Permanent Life Insurance
Identity Theft Protection
Short Term Disability Insurance
Long Term Disability Insurance
Supplemental Disability Insurance
Basic Life Insurance
Accidental Death and Dismemberment InsuranceSupplemental Life Insurance
Supplemental Spouse Life Insurance
Child Life Insurance
Loan Solution
Health Flexible Spending Account
Dependent Flexible Spending Account
Telemedicine
Virtual Primary Care
Prescription Savings Plan
Prescription Specialty Copay Assistance Program
Weight Management Program
Chronic Condition Management
Care Navigator Program
24/7 Nurse Line
Expert Medical Opinion
Precious Additions Maternity Program
Health Advocacy
Employee Assistance Program
Digital Cognitive Behavioral Therapy
Digital Physical Therapy
Behavioral and Mental Health Platforms
Auto and home discount program
Secure Travel Protection
Discount Programs
401(k) plan
Education Assistance
Paid Time Off
Referral program & Commuter Benefit (NJ ONLY)
Physical & Operational Context:
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.
Additional Information:
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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.
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Worksite address
camden, NJ, 08100, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.