Data Scientist II - Logistics Optimization (Hybrid)

United States Cold Storage; Camden (NJ); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical and Dental Insurance

401(k) plan

Paid Time Off

Job summary

A logistics and supply chain company in New Jersey is seeking a Data Scientist to enhance data-driven decision-making and support innovation. You'll solve complex challenges using statistical methods and machine learning, developing operational models and insights. Ideal candidates have 3-5 years of experience in data science, proficiency in Python and SQL, and a Master's degree in a relevant field. This hybrid role offers a competitive salary of $100,000-$120,000, along with comprehensive benefits.

Qualifications

• 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.

Responsibilities

• Identify, frame, and deliver high-impact analytical and optimization problems.
• Develop, deploy, and manage models for operational decision-making.
• Collaborate with stakeholders to communicate insights and recommendations.

Skills

Python

SQL

Statistical analysis

Machine learning

Optimization techniques

Data-driven decision making

Education

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

Tools

Azure

Snowflake

Docker

Job description

A logistics and supply chain company in New Jersey is seeking a Data Scientist to enhance data-driven decision-making and support innovation. You'll solve complex challenges using statistical methods and machine learning, developing operational models and insights. Ideal candidates have 3-5 years of experience in data science, proficiency in Python and SQL, and a Master's degree in a relevant field. This hybrid role offers a competitive salary of $100,000-$120,000, along with comprehensive benefits.