Data Scientist II

About 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.

Responsibilities

• 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 to identify and validate models
• Communication of insights, tradeoffs, and recommendations to both technical and non‑technical stakeholders

Requirements

• 3–5 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

Qualifications

• Master’s degree in mathematics, statistics, physics, computer science or related field
• Experience with Microsoft Azure, including data or ML-related services
• 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

Skills

• Experience with 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

Benefits

• 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
• Additional disability benefit, Basic Life Insurance, Accidental Death and Dismemberment Insurance
• Voluntary Life Insurance, Voluntary Spouse Life Insurance, Voluntary Child Life Insurance
• Loan Solution, Health Flexible Spending Account, Dependent Flexible Spending Account, Commuter accounts
• Telemedicine, Virtual Primary Care, Prescription Savings Plan, Prescription Specialty Copay Assistance Program, Weight Management Program
• 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